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[ { "type": "text", "value": "EPFL and Apple (at ", "raw": "EPFL and Apple (at ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@EPFL-VILAB", "href": null, "resource": null, "url": null, "code": null, "user": "EPFL-VILAB", "label": null, "lang": null }, { "type": "text", "value": ") just released 4M-21: single any-to-any model that can do anything from text-to-image generation to generating depth masks! 🙀", "raw": ") just released 4M-21: single any-to-any model that can do anything from text-to-image generation to generating depth masks! 🙀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "4M is a multimodal training framework introduced by Apple and EPFL.", "raw": "4M is a multimodal training framework introduced by Apple and EPFL.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Resulting model takes image and text and output image and text 🤩", "raw": "Resulting model takes image and text and output image and text 🤩", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Models: ", "raw": "Models: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/EPFL-VILAB/4m-models-660193abe3faf4b4d98a2742", "href": null, "resource": { "type": "collection", "id": "EPFL-VILAB/4m-models-660193abe3faf4b4d98a2742", "discussionNum": null }, "url": "https://huggingface.co/collections/EPFL-VILAB/4m-models-660193abe3faf4b4d98a2742", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Demo: ", "raw": "Demo: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/EPFL-VILAB/4M", "href": null, "resource": { "type": "space", "id": "EPFL-VILAB/4M", "discussionNum": null }, "url": "https://huggingface.co/spaces/EPFL-VILAB/4M", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Paper: ", "raw": "Paper: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2406.09406", "href": null, "resource": { "type": "paper", "id": "2406.09406", "discussionNum": null }, "url": "https://huggingface.co/papers/2406.09406", "code": null, "user": null, "label": "4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities (2406.09406)", "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This model consists of transformer encoder and decoder, where the key to multimodality lies in input and output data:", "raw": "This model consists of transformer encoder and decoder, where the key to multimodality lies in input and output data:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "input and output tokens are decoded to generate bounding boxes, generated image's pixels, captions and more!", "raw": "input and output tokens are decoded to generate bounding boxes, generated image's pixels, captions and more!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This model also learnt to generate canny maps, SAM edges and other things for steerable text-to-image generation 🖼️", "raw": "This model also learnt to generate canny maps, SAM edges and other things for steerable text-to-image generation 🖼️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The authors only added image-to-all capabilities for the demo, but you can try to use this model for text-to-image generation as well ☺️", "raw": "The authors only added image-to-all capabilities for the demo, but you can try to use this model for text-to-image generation as well ☺️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "The new Claude Sonnet 3.5 model from Anthropic AI has been getting good reviews on since last night. It is quite good at coding related tasks. We tried it on the Static Analysis Eval benchmark (", "raw": "The new Claude Sonnet 3.5 model from Anthropic AI has been getting good reviews on since last night. It is quite good at coding related tasks. We tried it on the Static Analysis Eval benchmark (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/patched-codes/static-analysis-eval", "href": null, "resource": { "type": "dataset", "id": "patched-codes/static-analysis-eval", "discussionNum": null }, "url": "https://huggingface.co/datasets/patched-codes/static-analysis-eval", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ") which measures the ability of a LLM to fix vulnerabilities. The model scores 59.21% which is good but not better than other frontier models (like GPT-4, Gemini-1.5 and LLama-3).", "raw": ") which measures the ability of a LLM to fix vulnerabilities. The model scores 59.21% which is good but not better than other frontier models (like GPT-4, Gemini-1.5 and LLama-3).", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hey all!", "raw": "Hey all!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Here I take a somewhat strong stance and am petitioning to revisit the default training parameters on the Diffusers LoRA page.", "raw": "Here I take a somewhat strong stance and am petitioning to revisit the default training parameters on the Diffusers LoRA page.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "In my opinion and after observing and testing may training pipelines shared by startups and resources, I have found that many of them exhibit the same types of issues. Upon discussing with some of these founders and creators, the common theme has been working backwards from the Diffusers LoRA page.", "raw": "In my opinion and after observing and testing may training pipelines shared by startups and resources, I have found that many of them exhibit the same types of issues. Upon discussing with some of these founders and creators, the common theme has been working backwards from the Diffusers LoRA page.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "In this article, I explain why the defaults in the Diffuser LoRA code produce some positive results, which can be initially misleading, and a suggestion on how that could be improved.", "raw": "In this article, I explain why the defaults in the Diffuser LoRA code produce some positive results, which can be initially misleading, and a suggestion on how that could be improved.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/alvdansen/revisit-diffusers-default-params", "href": "https://huggingface.co/blog/alvdansen/revisit-diffusers-default-params", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "We’re thrilled to share our latest technical paper on the multi-task GLiNER model. Our research dives into the following exciting and forward-thinking topics:", "raw": "We’re thrilled to share our latest technical paper on the multi-task GLiNER model. Our research dives into the following exciting and forward-thinking topics:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔍 Zero-shot NER & Information Extraction: We demonstrate that with diverse and ample data, paired with the right architecture, encoders can achieve impressive results across various extraction tasks;", "raw": "🔍 Zero-shot NER & Information Extraction: We demonstrate that with diverse and ample data, paired with the right architecture, encoders can achieve impressive results across various extraction tasks;", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🛠️ Synthetic Data Generation: Leveraging open labelling by LLMs like Llama, we generated high-quality training data. Our student model even outperformed the teacher model, highlighting the potential of this approach.", "raw": "🛠️ Synthetic Data Generation: Leveraging open labelling by LLMs like Llama, we generated high-quality training data. Our student model even outperformed the teacher model, highlighting the potential of this approach.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤖 Self-Learning: Our model showed consistent improvements in performance without labelled data, achieving up to a 12% increase in F1 score for initially challenging topics. This ability to learn and improve autonomously is a very perspective direction of future research!", "raw": "🤖 Self-Learning: Our model showed consistent improvements in performance without labelled data, achieving up to a 12% increase in F1 score for initially challenging topics. This ability to learn and improve autonomously is a very perspective direction of future research!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2406.12925", "href": null, "resource": { "type": "paper", "id": "2406.12925", "discussionNum": null }, "url": "https://huggingface.co/papers/2406.12925", "code": null, "user": null, "label": "GLiNER multi-task: Generalist Lightweight Model for Various Information\n Extraction Tasks (2406.12925)", "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/knowledgator/gliner-multitask-large-v0.5", "href": null, "resource": { "type": "model", "id": "knowledgator/gliner-multitask-large-v0.5", "discussionNum": null }, "url": "https://huggingface.co/knowledgator/gliner-multitask-large-v0.5", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/knowledgator/GLiNER_HandyLab", "href": null, "resource": { "type": "space", "id": "knowledgator/GLiNER_HandyLab", "discussionNum": null }, "url": "https://huggingface.co/spaces/knowledgator/GLiNER_HandyLab", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```\n#!pip install gliner -U\n\nfrom gliner import GLiNER\n\nmodel = GLiNER.from_pretrained(\"knowledgator/gliner-multitask-large-v0.5\")\n\ntext = \"\"\"\nMicrosoft was founded by Bill Gates and Paul Allen on April 4, 1975 to develop and sell BASIC interpreters for the Altair 8800. \n\"\"\"\n\nlabels = [\"founder\", \"computer\", \"software\", \"position\", \"date\"]\n\nentities = model.predict_entities(text, labels)\n\nfor entity in entities:\n print(entity[\"text\"], \"=>\", entity[\"label\"])\n```", "href": null, "resource": null, "url": null, "code": "#!pip install gliner -U\n\nfrom gliner import GLiNER\n\nmodel = GLiNER.from_pretrained(\"knowledgator/gliner-multitask-large-v0.5\")\n\ntext = \"\"\"\nMicrosoft was founded by Bill Gates and Paul Allen on April 4, 1975 to develop and sell BASIC interpreters for the Altair 8800. \n\"\"\"\n\nlabels = [\"founder\", \"computer\", \"software\", \"position\", \"date\"]\n\nentities = model.predict_entities(text, labels)\n\nfor entity in entities:\n print(entity[\"text\"], \"=>\", entity[\"label\"])", "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I'm about to start storing files in my TFLOPS count..", "raw": "I'm about to start storing files in my TFLOPS count..", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I am excited to share Synthetic Data Workshop, a Space that aims to simplify creating synthetic datasets! ", "raw": "I am excited to share Synthetic Data Workshop, a Space that aims to simplify creating synthetic datasets! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅ Pre-configured environment", "raw": "✅ Pre-configured environment", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅ Ready-to-use notebooks", "raw": "✅ Ready-to-use notebooks", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅ No local GPU needed", "raw": "✅ No local GPU needed", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You can try the Space here: ", "raw": "You can try the Space here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/davanstrien/synthetic-data-workshop", "href": null, "resource": { "type": "space", "id": "davanstrien/synthetic-data-workshop", "discussionNum": null }, "url": "https://huggingface.co/spaces/davanstrien/synthetic-data-workshop", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I also wrote a blog post going into more detail about the motivations for the Space: ", "raw": "I also wrote a blog post going into more detail about the motivations for the Space: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/davanstrien/synthetic-data-workshop", "href": "https://huggingface.co/blog/davanstrien/synthetic-data-workshop", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🔍 A recently published technical report introduces MINT-1T, a dataset that will considerably expand open-source multimodal data. It features one trillion text tokens and three billion images and is scheduled for release in July 2024.", "raw": "🔍 A recently published technical report introduces MINT-1T, a dataset that will considerably expand open-source multimodal data. 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[ { "type": "text", "value": "Towards a Dynamic 2.0 Model of Generative Intelligence", "raw": "Towards a Dynamic 2.0 Model of Generative Intelligence", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://empereur-pirate.medium.com/towards-a-dynamic-2-0-model-of-generative-intelligence-6128d64fb523", "href": "https://empereur-pirate.medium.com/towards-a-dynamic-2-0-model-of-generative-intelligence-6128d64fb523", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This article explores the limitations of current AI language models, which do not allow user contributions and restrict freedom of expression through corporate censorship. It argues for a participatory approach to AI development, emphasizing the need for open and transparent models that integrate user feedback and contributions. The article highlights the importance of network neutrality and the potential of AI to enhance creativity and collective intelligence. It calls for political and institutional support to foster innovation in AI, ensuring that these technologies respect fundamental rights and promote qualitative performance through inclusivity and transparency.", "raw": "This article explores the limitations of current AI language models, which do not allow user contributions and restrict freedom of expression through corporate censorship. It argues for a participatory approach to AI development, emphasizing the need for open and transparent models that integrate user feedback and contributions. The article highlights the importance of network neutrality and the potential of AI to enhance creativity and collective intelligence. It calls for political and institutional support to foster innovation in AI, ensuring that these technologies respect fundamental rights and promote qualitative performance through inclusivity and transparency.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Florence-2 is a new vision foundation model capable of a wide variety of tasks 🤯 ", "raw": "Florence-2 is a new vision foundation model capable of a wide variety of tasks 🤯 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Demo 👉🏻 ", "raw": "Demo 👉🏻 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/gokaygokay/Florence-2", "href": null, "resource": { "type": "space", "id": "gokaygokay/Florence-2", "discussionNum": null }, "url": "https://huggingface.co/spaces/gokaygokay/Florence-2", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Collection 👉🏻 ", "raw": "Collection 👉🏻 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/microsoft/florence-6669f44df0d87d9c3bfb76de", "href": null, "resource": { "type": "collection", "id": "microsoft/florence-6669f44df0d87d9c3bfb76de", "discussionNum": null }, "url": "https://huggingface.co/collections/microsoft/florence-6669f44df0d87d9c3bfb76de", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This model can handle tasks that vary from OCR to semantic segmentation. ", "raw": "This model can handle tasks that vary from OCR to semantic segmentation. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The difference from previous models is that the authors have compiled a dataset consisting of 126M images with 5.4B annotations labelled with their own data engine pseudolabelled by smaller specialized models and APIs. ", "raw": "The difference from previous models is that the authors have compiled a dataset consisting of 126M images with 5.4B annotations labelled with their own data engine pseudolabelled by smaller specialized models and APIs. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The model has a similar architecture to previous models: an image encoder and a multimodality encoder with a text decoder. The authors have compiled the multitask dataset with prompts for each task. ", "raw": "The model has a similar architecture to previous models: an image encoder and a multimodality encoder with a text decoder. The authors have compiled the multitask dataset with prompts for each task. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You can also fine-tune this model on any task of choice. The authors also released different results on downstream tasks and reported their results when un/freezing the vision encoder 🤓📉 ", "raw": "You can also fine-tune this model on any task of choice. The authors also released different results on downstream tasks and reported their results when un/freezing the vision encoder 🤓📉 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "They have released fine-tuned models too, you can find them in the collection above 🤗 ", "raw": "They have released fine-tuned models too, you can find them in the collection above 🤗 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Check out AutoRound, SOTA LLM quantization algorithm across 2-4 bits without adding any inference overhead to any model", "raw": "Check out AutoRound, SOTA LLM quantization algorithm across 2-4 bits without adding any inference overhead to any model", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "paper: ", "raw": "paper: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://arxiv.org/abs/2309.05516", "href": "https://arxiv.org/abs/2309.05516", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "github: ", "raw": "github: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/intel/auto-round", "href": "https://github.com/intel/auto-round", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "lowbits leaderboard: ", "raw": "lowbits leaderboard: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/Intel/low-bit-leaderboard", "href": "https://huggingface.co/spaces/Intel/low-bit-leaderboard", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "With the most recent workshop on Semantic Evaluation as a part of NAACL-2024, this year delighted to contribute with 🧪 on Chain-of-Thought fine-tuning concepts to push forward LLMs reasoning capabilities in: ", "raw": "With the most recent workshop on Semantic Evaluation as a part of NAACL-2024, this year delighted to contribute with 🧪 on Chain-of-Thought fine-tuning concepts to push forward LLMs reasoning capabilities in: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🧪 1. Reading Comprehension of Numerals in texts 🇨🇳 ", "raw": "🧪 1. Reading Comprehension of Numerals in texts 🇨🇳 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⭐ ", "raw": "⭐ ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/GavinZhao19/SemEval24-NumAnalysis-CN", "href": "https://github.com/GavinZhao19/SemEval24-NumAnalysis-CN", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔒 ", "raw": "🔒 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/GavinZhao23/NumAnalysis-Chatglm3-6B", "href": "https://huggingface.co/GavinZhao23/NumAnalysis-Chatglm3-6B", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🧪 2. Extracting Emotion-Causes using Reasoning Revision (RR)", "raw": "🧪 2. Extracting Emotion-Causes using Reasoning Revision (RR)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⭐ ", "raw": "⭐ ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/nicolay-r/THOR-ECAC", "href": "https://github.com/nicolay-r/THOR-ECAC", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔓 ", "raw": "🔓 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/nicolay-r/flan-t5-emotion-cause-thor-base", "href": null, "resource": { "type": "model", "id": "nicolay-r/flan-t5-emotion-cause-thor-base", "discussionNum": null }, "url": "https://huggingface.co/nicolay-r/flan-t5-emotion-cause-thor-base", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2404.03361", "href": null, "resource": { "type": "paper", "id": "2404.03361", "discussionNum": null }, "url": "https://huggingface.co/papers/2404.03361", "code": null, "user": null, "label": "nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion\n Cause in Conversations with Chain-of-Thought on Emotion States (2404.03361)", "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔑 In short, there are three major takeaways:", "raw": "🔑 In short, there are three major takeaways:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅ 1. The scale of the backboned LLM for SFT matters (>1.1B is preferable)", "raw": "✅ 1. The scale of the backboned LLM for SFT matters (>1.1B is preferable)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅ 2. The language of the input data matters in LLM reasoning capabilities: transfering data in English and picking English-based LLM is crucial for the most cases!", "raw": "✅ 2. The language of the input data matters in LLM reasoning capabilities: transfering data in English and picking English-based LLM is crucial for the most cases!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅ 3. CoT and RR takes more time ⏳ for inferring and fine-tuning, proportionally to abount of steps in chain / amount of revisions in reasoning 🧠", "raw": "✅ 3. CoT and RR takes more time ⏳ for inferring and fine-tuning, proportionally to abount of steps in chain / amount of revisions in reasoning 🧠", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🚀 Exciting news about ", "raw": "🚀 Exciting news about ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/as-cle-bert/proteinviz", "href": null, "resource": { "type": "space", "id": "as-cle-bert/proteinviz", "discussionNum": null }, "url": "https://huggingface.co/spaces/as-cle-bert/proteinviz", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ", your fully open-source protein structure prediction tool!", "raw": ", your fully open-source protein structure prediction tool!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🧬 I'm thrilled to announce 𝘽𝙪𝙡𝙠𝙋𝙧𝙤𝙩𝙚𝙞𝙣𝙫𝙞𝙯, a new functionality which supports multiple structure predictions at once: you just need to upload a FASTA file with all the amino-acidic sequences, and you'll be done in minutes!", "raw": "🧬 I'm thrilled to announce 𝘽𝙪𝙡𝙠𝙋𝙧𝙤𝙩𝙚𝙞𝙣𝙫𝙞𝙯, a new functionality which supports multiple structure predictions at once: you just need to upload a FASTA file with all the amino-acidic sequences, and you'll be done in minutes!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🏃 This can be really helpful in speeding up your research: give it a shot, if you are curious!🤗", "raw": "🏃 This can be really helpful in speeding up your research: give it a shot, if you are curious!🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "(Demo in the attached video)", "raw": "(Demo in the attached video)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🔥 🔥 Releasing our new paper on AI safety alignment -- Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations 🎯 with Sayan Layek, Somnath Banerjee and Soujanya Poria.", "raw": "🔥 🔥 Releasing our new paper on AI safety alignment -- Safety Arithmetic: A Framework for Test-time Safety Alignment of Language Models by Steering Parameters and Activations 🎯 with Sayan Layek, Somnath Banerjee and Soujanya Poria.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉 We propose Safety Arithmetic, a training-free framework enhancing LLM safety across different scenarios: Base models, Supervised fine-tuned models (SFT), and Edited models. Safety Arithmetic involves Harm Direction Removal (HDR) to avoid harmful content and Safety Alignment to promote safe responses.", "raw": "👉 We propose Safety Arithmetic, a training-free framework enhancing LLM safety across different scenarios: Base models, Supervised fine-tuned models (SFT), and Edited models. Safety Arithmetic involves Harm Direction Removal (HDR) to avoid harmful content and Safety Alignment to promote safe responses.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉 Paper: ", "raw": "👉 Paper: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://arxiv.org/abs/2406.11801v1", "href": "https://arxiv.org/abs/2406.11801v1", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👉 Code: ", "raw": "👉 Code: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/declare-lab/safety-arithmetic", "href": "https://github.com/declare-lab/safety-arithmetic", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Forget about all the captioning datasets you've tried before!", "raw": "Forget about all the captioning datasets you've tried before!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "PixelProse is a captioning dataset of 16M image-caption pairs, with less toxicity and higher details ✨ ", "raw": "PixelProse is a captioning dataset of 16M image-caption pairs, with less toxicity and higher details ✨ ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/tomg-group-umd/pixelprose", "href": null, "resource": { "type": "dataset", "id": "tomg-group-umd/pixelprose", "discussionNum": null }, "url": "https://huggingface.co/datasets/tomg-group-umd/pixelprose", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The existing suite of captioning datasets consists of web scrapes that have alt text that is either irrelevant or not descriptive. The authors of this paper have taken those datasets, filtered for CSAM, passed it with a prompt to Gemini Vision Pro. They also removed PII and detoxified the resulting dataset. ", "raw": "The existing suite of captioning datasets consists of web scrapes that have alt text that is either irrelevant or not descriptive. The authors of this paper have taken those datasets, filtered for CSAM, passed it with a prompt to Gemini Vision Pro. They also removed PII and detoxified the resulting dataset. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "⚗️ Looking to get started with Synthetic data and AI Feedback? ", "raw": "⚗️ Looking to get started with Synthetic data and AI Feedback? ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I created this cool notebook for a workshop ", "raw": "I created this cool notebook for a workshop ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@davanstrien", "href": null, "resource": null, "url": null, "code": null, "user": "davanstrien", "label": null, "lang": null }, { "type": "text", "value": " and I gave it a couple of weeks back. It uses ", "raw": " and I gave it a couple of weeks back. It uses ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://distilabel.argilla.io/dev/", "href": "https://distilabel.argilla.io/dev/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " and I think it is a good entry point for anyone with a practical interest in the topic.", "raw": " and I think it is a good entry point for anyone with a practical interest in the topic.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://colab.research.google.com/github/davanstrien/data-for-fine-tuning-llms/blob/main/03-synthetic-data-generation.ipynb", "href": "https://colab.research.google.com/github/davanstrien/data-for-fine-tuning-llms/blob/main/03-synthetic-data-generation.ipynb", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "On-Device deployment ready MobileNet-V4 models:", "raw": "On-Device deployment ready MobileNet-V4 models:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/byoussef/mobilenetv4-conv-pretrained-tflite-models-66726c945040fc61f5a50b63", "href": null, "resource": { "type": "collection", "id": "byoussef/mobilenetv4-conv-pretrained-tflite-models-66726c945040fc61f5a50b63", "discussionNum": null }, "url": "https://huggingface.co/collections/byoussef/mobilenetv4-conv-pretrained-tflite-models-66726c945040fc61f5a50b63", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Models converted from timm's pretrained Pytorch weights to TFLite (fp32 & fp16). ", "raw": "Models converted from timm's pretrained Pytorch weights to TFLite (fp32 & fp16). ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "All conv models fully compatible with TFLite Gpu Delegate on Android for fast on-device inference 🚀", "raw": "All conv models fully compatible with TFLite Gpu Delegate on Android for fast on-device inference 🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Can also run super fast on Google-Edge-TPU on Pixel phones 🚀", "raw": "Can also run super fast on Google-Edge-TPU on Pixel phones 🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🤯🤯🤯VERY ROBUST TOOL to control camera motion for videos!!!", "raw": "🤯🤯🤯VERY ROBUST TOOL to control camera motion for videos!!!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Even doesn't need any additional finetuning! It uses inference process of video diffusion directly!!", "raw": "Even doesn't need any additional finetuning! It uses inference process of video diffusion directly!!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Try it on your own video diffusion model and generate CINEMATIC SHOTS!📸🎥🫢", "raw": "Try it on your own video diffusion model and generate CINEMATIC SHOTS!📸🎥🫢", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check at ", "raw": "Check at ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://lifedecoder.github.io/CamTrol/", "href": "https://lifedecoder.github.io/CamTrol/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2312.16171", "href": null, "resource": { "type": "paper", "id": "2312.16171", "discussionNum": null }, "url": "https://huggingface.co/papers/2312.16171", "code": null, "user": null, "label": "Principled Instructions Are All You Need for Questioning LLaMA-1/2,\n GPT-3.5/4 (2312.16171)", "lang": null }, { "type": "text", "value": " I normally use this to make prompts in the form of a RAG (Retrieval Augmented Generation). For example, here's one from Gemma 7B about articles. ", "raw": " I normally use this to make prompts in the form of a RAG (Retrieval Augmented Generation). For example, here's one from Gemma 7B about articles. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "\"Please summarize the main ideas of the article '[Article Title]' in a concise and informative manner. Focus on highlighting the key points and arguments presented in the article. Keep the summary to around [desired length] words.\"", "raw": "\"Please summarize the main ideas of the article '[Article Title]' in a concise and informative manner. Focus on highlighting the key points and arguments presented in the article. Keep the summary to around [desired length] words.\"", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Has anyone else tried this? Do you like the results you are getting?", "raw": "Has anyone else tried this? Do you like the results you are getting?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "⚗️ distilabel 1.2.0 is out and it comes with improved support for structured generation, new tasks for generating datasets for training embedding models, new steps for loading data, MixtureOfAgentsLLM and improved docs.", "raw": "⚗️ distilabel 1.2.0 is out and it comes with improved support for structured generation, new tasks for generating datasets for training embedding models, new steps for loading data, MixtureOfAgentsLLM and improved docs.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "We would love to see a few new datasets for training embedding models built with distilabel on the Hub! ❤️", "raw": "We would love to see a few new datasets for training embedding models built with distilabel on the Hub! ❤️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I've fine-tuned three types of PaliGemma image captioner models for generating prompts for Text2Image models. They generate captions similar to prompts we give to the image generation models. I used google/docci and google/imageinwords datasets for fine-tuning. ", "raw": "I've fine-tuned three types of PaliGemma image captioner models for generating prompts for Text2Image models. They generate captions similar to prompts we give to the image generation models. I used google/docci and google/imageinwords datasets for fine-tuning. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This one gives you longer captions. ", "raw": "This one gives you longer captions. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner", "href": null, "resource": { "type": "space", "id": "gokaygokay/SD3-Long-Captioner", "discussionNum": null }, "url": "https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This one gives you middle size captions. ", "raw": "This one gives you middle size captions. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner-V2", "href": "https://huggingface.co/spaces/gokaygokay/SD3-Long-Captioner-V2", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "And this one gives you shorter captions. ", "raw": "And this one gives you shorter captions. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/spaces/gokaygokay/SDXL-Captioner", "href": "https://huggingface.co/spaces/gokaygokay/SDXL-Captioner", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "With the CVPR conference (", "raw": "With the CVPR conference (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://cvpr.thecvf.com", "href": "https://cvpr.thecvf.com", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ") in full swing this week in Seattle 🏙️, the competition details for NeurIPS 2024 have just been released.🚀", "raw": ") in full swing this week in Seattle 🏙️, the competition details for NeurIPS 2024 have just been released.🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Some of the competitions this year include:", "raw": "Some of the competitions this year include:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🦾 MyoChallenge 2024: Physiological dexterity in bionic humans.", "raw": "🦾 MyoChallenge 2024: Physiological dexterity in bionic humans.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🌌 FAIR Universe: Handling uncertainties in fundamental science.", "raw": "🌌 FAIR Universe: Handling uncertainties in fundamental science.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🧪 BELKA: Chemical assessment through big encoded libraries.", "raw": "🧪 BELKA: Chemical assessment through big encoded libraries.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🏆 HAC: Hacker-Cup AI competition.", "raw": "🏆 HAC: Hacker-Cup AI competition.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💰 Large-Scale Auction Challenge: Decision-making in competitive games.", "raw": "💰 Large-Scale Auction Challenge: Decision-making in competitive games.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📶 URGENT Challenge: Signal reconstruction and enhancement.", "raw": "📶 URGENT Challenge: Signal reconstruction and enhancement.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🛡️ LASC 2024: Safety in LLM and AI agents.", "raw": "🛡️ LASC 2024: Safety in LLM and AI agents.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "For more details, check out: ", "raw": "For more details, check out: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://blog.neurips.cc/2024/06/04/neurips-2024-competitions-announced", "href": "https://blog.neurips.cc/2024/06/04/neurips-2024-competitions-announced", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Impressive to see Depth Anything V2. See this example I just took with a lot of different depths. ", "raw": "Impressive to see Depth Anything V2. See this example I just took with a lot of different depths. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "If you want to learn more about it, this TLDR by ", "raw": "If you want to learn more about it, this TLDR by ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@merve", "href": null, "resource": null, "url": null, "code": null, "user": "merve", "label": null, "lang": null }, { "type": "text", "value": " is👌 ", "raw": " is👌 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/posts/merve/568638914646708", "href": "https://huggingface.co/posts/merve/568638914646708", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I love Depth Anything V2 😍 ", "raw": "I love Depth Anything V2 😍 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "It’s Depth Anything, but scaled with both larger teacher model and a gigantic dataset! ", "raw": "It’s Depth Anything, but scaled with both larger teacher model and a gigantic dataset! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Here's a small TLDR of paper with a lot of findings, experiments and more. ", "raw": "Here's a small TLDR of paper with a lot of findings, experiments and more. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I have also created a collection that has the models, the dataset, the demo and CoreML converted model 😚 ", "raw": "I have also created a collection that has the models, the dataset, the demo and CoreML converted model 😚 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/merve/depth-anything-v2-release-6671902e798cd404513ffbf5", "href": null, "resource": { "type": "collection", "id": "merve/depth-anything-v2-release-6671902e798cd404513ffbf5", "discussionNum": null }, "url": "https://huggingface.co/collections/merve/depth-anything-v2-release-6671902e798cd404513ffbf5", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The authors have analyzed Marigold, a diffusion based model against Depth Anything and found out what’s up with using synthetic images vs real images for MDE:", "raw": "The authors have analyzed Marigold, a diffusion based model against Depth Anything and found out what’s up with using synthetic images vs real images for MDE:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔖 Real data has a lot of label noise, inaccurate depth maps (caused by depth sensors missing transparent objects etc) and there are many details overlooked ", "raw": "🔖 Real data has a lot of label noise, inaccurate depth maps (caused by depth sensors missing transparent objects etc) and there are many details overlooked ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔖 Synthetic data have more precise and detailed depth labels and they are truly ground-truth, but there’s a distribution shift between real and synthetic images, and they have restricted scene coverage", "raw": "🔖 Synthetic data have more precise and detailed depth labels and they are truly ground-truth, but there’s a distribution shift between real and synthetic images, and they have restricted scene coverage", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The authors train different image encoders only on synthetic images and find out unless the encoder is very large the model can’t generalize well (but large models generalize inherently anyway) 🧐", "raw": "The authors train different image encoders only on synthetic images and find out unless the encoder is very large the model can’t generalize well (but large models generalize inherently anyway) 🧐", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "But they still fail encountering real images that have wide distribution in labels (e.g. diverse instances of objects) 🥲", "raw": "But they still fail encountering real images that have wide distribution in labels (e.g. diverse instances of objects) 🥲", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Depth Anything v2 framework is to..", "raw": "Depth Anything v2 framework is to..", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🦖 Train a teacher model based on DINOv2-G based on 595K synthetic images", "raw": "🦖 Train a teacher model based on DINOv2-G based on 595K synthetic images", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🏷️ Label 62M real images using teacher model", "raw": "🏷️ Label 62M real images using teacher model", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🦕 Train a student model using the real images labelled by teacher ", "raw": "🦕 Train a student model using the real images labelled by teacher ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Result: 10x faster and more accurate than Marigold! ", "raw": "Result: 10x faster and more accurate than Marigold! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The authors also construct a new benchmark called DA-2K that is less noisy, highly detailed and more diverse! ", "raw": "The authors also construct a new benchmark called DA-2K that is less noisy, highly detailed and more diverse! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hey All!", "raw": "Hey All!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I've been asked a lot of share more on how I train LoRAs. The truth is I don't think my advice is very helpful without also including more contextual, theoretical commentary on how I **think** about training LoRAs for SDXL and other models. ", "raw": "I've been asked a lot of share more on how I train LoRAs. The truth is I don't think my advice is very helpful without also including more contextual, theoretical commentary on how I **think** about training LoRAs for SDXL and other models. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I wrote a first article here about it - let me know what you think.", "raw": "I wrote a first article here about it - let me know what you think.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/alvdansen/thoughts-on-lora-training-1", "href": "https://huggingface.co/blog/alvdansen/thoughts-on-lora-training-1", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Edit: Also people kept asking where to start so I made a list of possible resources:", "raw": "Edit: Also people kept asking where to start so I made a list of possible resources:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/alvdansen/thoughts-on-lora-training-pt-2-training-services", "href": "https://huggingface.co/blog/alvdansen/thoughts-on-lora-training-pt-2-training-services", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "💰 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗽𝗿𝗶𝗰𝗲 𝗼𝗳 𝗮𝗻𝘆 𝗟𝗟𝗠 𝗔𝗣𝗜 𝗿𝗲𝗾𝘂𝗲𝘀𝘁 ⇒ 𝘁𝗼𝗸𝗲𝗻𝗰𝗼𝘀𝘁", "raw": "💰 𝗚𝗲𝘁 𝘁𝗵𝗲 𝗽𝗿𝗶𝗰𝗲 𝗼𝗳 𝗮𝗻𝘆 𝗟𝗟𝗠 𝗔𝗣𝗜 𝗿𝗲𝗾𝘂𝗲𝘀𝘁 ⇒ 𝘁𝗼𝗸𝗲𝗻𝗰𝗼𝘀𝘁", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I've just found out about 𝙰𝚐𝚎𝚗𝚝𝙾𝚙𝚜-𝙰𝙸/𝚝𝚘𝚔𝚎𝚗𝚌𝚘𝚜𝚝 (", "raw": "I've just found out about 𝙰𝚐𝚎𝚗𝚝𝙾𝚙𝚜-𝙰𝙸/𝚝𝚘𝚔𝚎𝚗𝚌𝚘𝚜𝚝 (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/AgentOps-AI/tokencost", "href": "https://github.com/AgentOps-AI/tokencost", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ").", "raw": ").", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "𝗧𝗵𝗶𝘀 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 𝗴𝗶𝘃𝗲𝘀 𝘆𝗼𝘂 𝘁𝗵𝗲 𝗽𝗿𝗶𝗰𝗲 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝗮𝗹𝗹𝘀 𝘁𝗼 𝗮𝗻𝘆 𝗟𝗟𝗠 𝗔𝗣𝗜: OpenAI, Anthropic, Mistral, AWS or Databricks...", "raw": "𝗧𝗵𝗶𝘀 𝗹𝗶𝗯𝗿𝗮𝗿𝘆 𝗴𝗶𝘃𝗲𝘀 𝘆𝗼𝘂 𝘁𝗵𝗲 𝗽𝗿𝗶𝗰𝗲 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗰𝗮𝗹𝗹𝘀 𝘁𝗼 𝗮𝗻𝘆 𝗟𝗟𝗠 𝗔𝗣𝗜: OpenAI, Anthropic, Mistral, AWS or Databricks...", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "For any model, you can use as input either string prompts or messages, and get as outputs either the price or token count.", "raw": "For any model, you can use as input either string prompts or messages, and get as outputs either the price or token count.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Congrats to the AgentOps-AI team: this will be very useful when trying to get a ballpark estimate of a project's price, to compare APIs, or for precise monitoring of usage!", "raw": "Congrats to the AgentOps-AI team: this will be very useful when trying to get a ballpark estimate of a project's price, to compare APIs, or for precise monitoring of usage!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✨ Daily reminder: 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗮𝗻 𝗔𝟭𝟬𝟬 𝗰𝗼𝘀𝘁𝘀 𝘆𝗼𝘂 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 $𝟬.𝟬𝟬/𝗵𝗼𝘂𝗿 (or 0.00€ in current exchange rates) on a HF space with ZeroGPU!", "raw": "✨ Daily reminder: 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝗮𝗻 𝗔𝟭𝟬𝟬 𝗰𝗼𝘀𝘁𝘀 𝘆𝗼𝘂 𝗲𝘅𝗮𝗰𝘁𝗹𝘆 $𝟬.𝟬𝟬/𝗵𝗼𝘂𝗿 (or 0.00€ in current exchange rates) on a HF space with ZeroGPU!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Learn more on ZeroGPU 👉 ", "raw": "Learn more on ZeroGPU 👉 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.datacenterdynamics.com/en/news/hugging-face-launches-zerogpu-project-to-democratize-ai-gives-away-10-million-worth-of-compute/", "href": "https://www.datacenterdynamics.com/en/news/hugging-face-launches-zerogpu-project-to-democratize-ai-gives-away-10-million-worth-of-compute/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/nevmenandr/incoming-students-ma-dh-hse-university", "href": null, "resource": { "type": "dataset", "id": "nevmenandr/incoming-students-ma-dh-hse-university", "discussionNum": null }, "url": "https://huggingface.co/datasets/nevmenandr/incoming-students-ma-dh-hse-university", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Dataset visualized by datawrapper", "raw": "Dataset visualized by datawrapper", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```html\n<div style=\"min-height:494px\"><script type=\"text/javascript\" defer src=\"https://datawrapper.dwcdn.net/q3waH/embed.js?v=2\" charset=\"utf-8\"></script><noscript><img src=\"https://datawrapper.dwcdn.net/q3waH/full.png\" alt=\"\" /></noscript></div>\n```", "href": null, "resource": null, "url": null, "code": "<div style=\"min-height:494px\"><script type=\"text/javascript\" defer src=\"https://datawrapper.dwcdn.net/q3waH/embed.js?v=2\" charset=\"utf-8\"></script><noscript><img src=\"https://datawrapper.dwcdn.net/q3waH/full.png\" alt=\"\" /></noscript></div>", "user": null, "label": null, "lang": "html" }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Data from my talk in February: ", "raw": "Data from my talk in February: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.youtube.com/watch?v=ZfXqvIzl5fo", "href": "https://www.youtube.com/watch?v=ZfXqvIzl5fo", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " . Slides: ", "raw": " . Slides: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://nevmenandr.github.io/slides/2024-02-02/slides.pdf", "href": "https://nevmenandr.github.io/slides/2024-02-02/slides.pdf", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ".", "raw": ".", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Remember Will Smith eating Spaghetti? 🍝😆", "raw": "Remember Will Smith eating Spaghetti? 🍝😆", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "AI has come a long way from generating hilariously low-quality videos to almost unrealistic realistic videos 🎥✨", "raw": "AI has come a long way from generating hilariously low-quality videos to almost unrealistic realistic videos 🎥✨", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "But most models like ", "raw": "But most models like ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@OpenAI", "href": null, "resource": null, "url": null, "code": null, "user": "OpenAI", "label": null, "lang": null }, { "type": "text", "value": " Sora, @Kling_ai , etc are not publicly available. 🚫🖥️", "raw": " Sora, @Kling_ai , etc are not publicly available. 🚫🖥️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "But now we have ", "raw": "But now we have ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@LumaLabsAI", "href": null, "resource": null, "url": null, "code": null, "user": "LumaLabsAI", "label": null, "lang": null }, { "type": "text", "value": " Dream Machine, which is publicly available for free! 🎉🆓", "raw": " Dream Machine, which is publicly available for free! 🎉🆓", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Here is the dilemma, Sora and Kling posted some excellent examples of what the AI was capable of, and so did Luma AI. 🌟🤖", "raw": "Here is the dilemma, Sora and Kling posted some excellent examples of what the AI was capable of, and so did Luma AI. 🌟🤖", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "But in actual use, they leave so much to be desired. 😕 Are we back to cherry-picking examples and leaking benchmarks in training data? 🍒📊", "raw": "But in actual use, they leave so much to be desired. 😕 Are we back to cherry-picking examples and leaking benchmarks in training data? 🍒📊", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Try Dream Machine 👉 ", "raw": "Try Dream Machine 👉 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://lumalabs.ai/dream-machine", "href": "https://lumalabs.ai/dream-machine", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " 🌐", "raw": " 🌐", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hey guys! ", "raw": "Hey guys! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@mk230580", "href": null, "resource": null, "url": null, "code": null, "user": "mk230580", "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@wikeeyang", "href": null, "resource": null, "url": null, "code": null, "user": "wikeeyang", "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Yasirkh", "href": null, "resource": null, "url": null, "code": null, "user": "Yasirkh", "label": null, "lang": null }, { "type": "text", "value": " & others asked how to run the Hugging Face spaces outside of the HF environment locally with their source editor and Google Colab. Here is how to do that simply 👇👇.", "raw": " & others asked how to run the Hugging Face spaces outside of the HF environment locally with their source editor and Google Colab. Here is how to do that simply 👇👇.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📍I have just created a step-by-step procedure with a Colab demo link also attached in the repository's README.md.", "raw": "📍I have just created a step-by-step procedure with a Colab demo link also attached in the repository's README.md.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔗: ", "raw": "🔗: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/prithivsakthiur/how-to-run-huggingface-spaces-on-local-machine-demo", "href": "https://github.com/prithivsakthiur/how-to-run-huggingface-spaces-on-local-machine-demo", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Thanks for a read !!", "raw": "Thanks for a read !!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🚀 Sarashina1-65B", "raw": "🚀 Sarashina1-65B", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "SB Intuitions has announced the release of Japanese Large Language Models (LLMs) with 7 billion, 13 billion, and 65 billion parameters to aid academic and industrial research and development. The company plans to develop a 390 billion parameter model by the end of 2024. The models, named Sarashina1 and Sarashina2, show significant performance improvements, especially Sarashina2 which is an enhanced version of Sarashina1. ", "raw": "SB Intuitions has announced the release of Japanese Large Language Models (LLMs) with 7 billion, 13 billion, and 65 billion parameters to aid academic and industrial research and development. The company plans to develop a 390 billion parameter model by the end of 2024. The models, named Sarashina1 and Sarashina2, show significant performance improvements, especially Sarashina2 which is an enhanced version of Sarashina1. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Performance evaluations using five Japanese language datasets reveal that Sarashina2 outperforms other models, including continued pre-trained models. The name \"Sarashina\" originates from a historical diary linked to the headquarters' location in Tokyo's Takeshiba area, symbolizing the company's ambition to create globally utilized models from Japan.", "raw": "Performance evaluations using five Japanese language datasets reveal that Sarashina2 outperforms other models, including continued pre-trained models. 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[ { "type": "text", "value": "Join us at our remaining CVPR presentations this week! Members of PRS-ETH will be around to connect with you and discuss our presented and ongoing works:", "raw": "Join us at our remaining CVPR presentations this week! Members of PRS-ETH will be around to connect with you and discuss our presented and ongoing works:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💐 Marigold: Discover our work on sharp diffusion-based computer vision techniques, presented in Orals 3A track on \"3D from Single View\", Thu, June 20, 9:00-9:15 AM. Also, drop by Poster Session 3 later that day for more tangible matters! 🌚 ", "raw": "💐 Marigold: Discover our work on sharp diffusion-based computer vision techniques, presented in Orals 3A track on \"3D from Single View\", Thu, June 20, 9:00-9:15 AM. Also, drop by Poster Session 3 later that day for more tangible matters! 🌚 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Project page: ", "raw": "Project page: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://marigoldmonodepth.github.io/", "href": "https://marigoldmonodepth.github.io/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Paper: ", "raw": "Paper: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2312.02145", "href": null, "resource": { "type": "paper", "id": "2312.02145", "discussionNum": null }, "url": "https://huggingface.co/papers/2312.02145", "code": null, "user": null, "label": "Repurposing Diffusion-Based Image Generators for Monocular Depth\n Estimation (2312.02145)", "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Collection: ", "raw": "Collection: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/collections/prs-eth/marigold-6669e9e3d3ee30f48214b9ba", "href": "https://huggingface.co/collections/prs-eth/marigold-6669e9e3d3ee30f48214b9ba", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Space: ", "raw": "Space: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/prs-eth/marigold-lcm", "href": null, "resource": { "type": "space", "id": "prs-eth/marigold-lcm", "discussionNum": null }, "url": "https://huggingface.co/spaces/prs-eth/marigold-lcm", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Diffusers 🧨 tutorial: ", "raw": "Diffusers 🧨 tutorial: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/docs/diffusers/using-diffusers/marigold_usage", "href": "https://huggingface.co/docs/diffusers/using-diffusers/marigold_usage", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⚙️ Point2CAD: Learn about our mechanical CAD model reconstruction from point clouds, presented in Poster Session 1, Wed, June 19, 10:30 AM - 12:00 PM. ", "raw": "⚙️ Point2CAD: Learn about our mechanical CAD model reconstruction from point clouds, presented in Poster Session 1, Wed, June 19, 10:30 AM - 12:00 PM. 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[ { "type": "text", "value": "A nice improvement for Hugging Face on Sheets: You can now customize your prompt and select the model of your choice directly on the sheet.", "raw": "A nice improvement for Hugging Face on Sheets: You can now customize your prompt and select the model of your choice directly on the sheet.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Thanks to ", "raw": "Thanks to ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@louisbrulenaudet", "href": null, "resource": null, "url": null, "code": null, "user": "louisbrulenaudet", "label": null, "lang": null }, { "type": "text", "value": " for the contribution. Really cool to see the community improving this tool! ", "raw": " for the contribution. Really cool to see the community improving this tool! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Try it here: ", "raw": "Try it here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/JournalistsonHF/huggingface-on-sheets", "href": null, "resource": { "type": "space", "id": "JournalistsonHF/huggingface-on-sheets", "discussionNum": null }, "url": "https://huggingface.co/spaces/JournalistsonHF/huggingface-on-sheets", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "📁✨ Meet Corpus Creator! ", "raw": "📁✨ Meet Corpus Creator! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This Gradio app (", "raw": "This Gradio app (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/davanstrien/corpus-creator", "href": null, "resource": { "type": "space", "id": "davanstrien/corpus-creator", "discussionNum": null }, "url": "https://huggingface.co/spaces/davanstrien/corpus-creator", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ") takes you from your local files to a Hugging Face Dataset via Llama Index. ", "raw": ") takes you from your local files to a Hugging Face Dataset via Llama Index. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The goal of the tool is to make it quicker and easier to quickly get some local files you want to get ready for ML tasks into a Hugging Face Dataset. Perfect for building datasets for:", "raw": "The goal of the tool is to make it quicker and easier to quickly get some local files you want to get ready for ML tasks into a Hugging Face Dataset. Perfect for building datasets for:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- synthetic data pipelines", "raw": "- synthetic data pipelines", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- annotation", "raw": "- annotation", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- RAG", "raw": "- RAG", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Other ML tasks that start from a HF dataset ", "raw": "- Other ML tasks that start from a HF dataset ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I'll share something more substantial that uses this tomorrow 🤗", "raw": "I'll share something more substantial that uses this tomorrow 🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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"type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📓 Notebook: ", "raw": "📓 Notebook: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/deepset-ai/haystack-cookbook/blob/main/notebooks/prometheus2_evaluation.ipynb", "href": "https://github.com/deepset-ai/haystack-cookbook/blob/main/notebooks/prometheus2_evaluation.ipynb", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "─── ⋆⋅☆⋅⋆ ───", "raw": "─── ⋆⋅☆⋅⋆ ───", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "When evaluating LLMs' responses, 𝐩𝐫𝐨𝐩𝐫𝐢𝐞𝐭𝐚𝐫𝐲 𝐦𝐨𝐝𝐞𝐥𝐬 like GPT-4 are commonly used due to their strong performance.", "raw": "When evaluating LLMs' responses, 𝐩𝐫𝐨𝐩𝐫𝐢𝐞𝐭𝐚𝐫𝐲 𝐦𝐨𝐝𝐞𝐥𝐬 like GPT-4 are commonly used due to their strong performance.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "However, relying on closed models presents challenges related to data privacy 🔒, transparency, controllability, and cost 💸.", "raw": "However, relying on closed models presents challenges related to data privacy 🔒, transparency, controllability, and cost 💸.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "On the other hand, 𝐨𝐩𝐞𝐧 𝐦𝐨𝐝𝐞𝐥𝐬 typically do not correlate well with human judgments and lack flexibility.", "raw": "On the other hand, 𝐨𝐩𝐞𝐧 𝐦𝐨𝐝𝐞𝐥𝐬 typically do not correlate well with human judgments and lack flexibility.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔥 Prometheus 2 is a new family of open-source models designed to address these gaps:", "raw": "🔥 Prometheus 2 is a new family of open-source models designed to address these gaps:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔹 two variants: ", "raw": "🔹 two variants: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prometheus-eval/prometheus-7b-v2.0", "href": null, "resource": { "type": "model", "id": "prometheus-eval/prometheus-7b-v2.0", "discussionNum": null }, "url": "https://huggingface.co/prometheus-eval/prometheus-7b-v2.0", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "; ", "raw": "; ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/prometheus-eval/prometheus-8x7b-v2.0", "href": null, "resource": { "type": "model", "id": "prometheus-eval/prometheus-8x7b-v2.0", "discussionNum": null }, "url": "https://huggingface.co/prometheus-eval/prometheus-8x7b-v2.0", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔹 trained on open-source data", "raw": "🔹 trained on open-source data", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔹 high correlation with human evaluations and proprietary models", "raw": "🔹 high correlation with human evaluations and proprietary models", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔹 highly flexible: capable of performing direct assessments and pairwise rankings, and allowing the definition of custom evaluation criteria.", "raw": "🔹 highly flexible: capable of performing direct assessments and pairwise rankings, and allowing the definition of custom evaluation criteria.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "See my experiments with RAG evaluation in the links above.", "raw": "See my experiments with RAG evaluation in the links above.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "My weekened project ended up being doing some testing between torchtune, axolotl, and unsloth. I *think* it's a 1:1 comparison of what LoRA fine-tuning performance looks like between the different hardware I have in my dev boxes (4090, 3090, 7900 XTX, W7900) with a few other interesting tidbits.", "raw": "My weekened project ended up being doing some testing between torchtune, axolotl, and unsloth. I *think* it's a 1:1 comparison of what LoRA fine-tuning performance looks like between the different hardware I have in my dev boxes (4090, 3090, 7900 XTX, W7900) with a few other interesting tidbits.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Tonight I wrote up a WandB report (the panel editor is super broken in Firefox 😔) that sums up some of the more interesting bits from the results: ", "raw": "Tonight I wrote up a WandB report (the panel editor is super broken in Firefox 😔) that sums up some of the more interesting bits from the results: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://wandb.ai/augmxnt/train-bench/reports/torchtune-vs-axolotl-vs-unsloth-Trainer-Comparison--Vmlldzo4MzU3NTAx", "href": "https://wandb.ai/augmxnt/train-bench/reports/torchtune-vs-axolotl-vs-unsloth-Trainer-Comparison--Vmlldzo4MzU3NTAx", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🌟 Progress in the German FineWeb edu reproduction 🌟", "raw": "🌟 Progress in the German FineWeb edu reproduction 🌟", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "We're delighted to share the launch of our new Data Quality Classification Model, designed specifically for evaluating educational content in German. This tool uses advanced machine learning techniques to assess texts across all educational levels, from primary school to university.", "raw": "We're delighted to share the launch of our new Data Quality Classification Model, designed specifically for evaluating educational content in German. This tool uses advanced machine learning techniques to assess texts across all educational levels, from primary school to university.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔍 Inspired by Huggingface's fine web edu dataset, we've worked hard to refine data classification methods ensuring educators and learners access top-quality resources.", "raw": "🔍 Inspired by Huggingface's fine web edu dataset, we've worked hard to refine data classification methods ensuring educators and learners access top-quality resources.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "We're excited about the future as we continue improving our models and expanding our datasets.", "raw": "We're excited about the future as we continue improving our models and expanding our datasets.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Access the model here: ", "raw": "Access the model here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/pL-Community/GermanEduScorer-Qwen2-1.5b", "href": null, "resource": { "type": "model", "id": "pL-Community/GermanEduScorer-Qwen2-1.5b", "discussionNum": null }, "url": "https://huggingface.co/pL-Community/GermanEduScorer-Qwen2-1.5b", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🙏 A huge thank you to David and Daryoush from Vago Solutions; Björn and Jan from Ellamind / DiscoResearch for their expert insights throughout this project. Your support has been crucial.", "raw": "🙏 A huge thank you to David and Daryoush from Vago Solutions; Björn and Jan from Ellamind / DiscoResearch for their expert insights throughout this project. Your support has been crucial.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This project was made possible by the support of PrimeLine AI.", "raw": "This project was made possible by the support of PrimeLine AI.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Mixtral or Llama 70B on Google Spreadsheet thanks to Hugging Face's Serverless Inference API 🤗", "raw": "Mixtral or Llama 70B on Google Spreadsheet thanks to Hugging Face's Serverless Inference API 🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The Add-on is now available on the HF repo \"Journalists on Hugging Face\" and allows rapid generation of synthetic data, automatic translation, answering questions and more from simple spreadsheet cells 🖥️", "raw": "The Add-on is now available on the HF repo \"Journalists on Hugging Face\" and allows rapid generation of synthetic data, automatic translation, answering questions and more from simple spreadsheet cells 🖥️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Link to the 🤗 Space : ", "raw": "Link to the 🤗 Space : ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/JournalistsonHF/huggingface-on-sheets", "href": null, "resource": { "type": "space", "id": "JournalistsonHF/huggingface-on-sheets", "discussionNum": null }, "url": "https://huggingface.co/spaces/JournalistsonHF/huggingface-on-sheets", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Although this tool was initially developed for journalists, it actually finds a much wider inking among daily users of the Google suite and the remaining use cases to be explored are numerous.", "raw": "Although this tool was initially developed for journalists, it actually finds a much wider inking among daily users of the Google suite and the remaining use cases to be explored are numerous.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Only a free Hugging Face API key is required to start using this no-code extension.", "raw": "Only a free Hugging Face API key is required to start using this no-code extension.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Do not hesitate to submit ideas for features that we could add!", "raw": "Do not hesitate to submit ideas for features that we could add!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Thanks to ", "raw": "Thanks to ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@fdaudens", "href": null, "resource": null, "url": null, "code": null, "user": "fdaudens", "label": null, "lang": null }, { "type": "text", "value": " for initiating this development.", "raw": " for initiating this development.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "A great work based on ChemLLM from Open-source community!", "raw": "A great work based on ChemLLM from Open-source community!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Automatic Scientific Discovery guided by LLM!", "raw": "Automatic Scientific Discovery guided by LLM!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/zyzisastudyreallyhardguy/LLM4SD", "href": "https://github.com/zyzisastudyreallyhardguy/LLM4SD", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "📊 Lovely to share the unique reasoning capabilities 🧠 findings of Qwen2-7B 🇨🇳 in Target Sentiment Analysis (TSA) for original texts (🇷🇺) and their translated version in English (🇺🇸), in zero-shot-learning mode.", "raw": "📊 Lovely to share the unique reasoning capabilities 🧠 findings of Qwen2-7B 🇨🇳 in Target Sentiment Analysis (TSA) for original texts (🇷🇺) and their translated version in English (🇺🇸), in zero-shot-learning mode.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Since the last update on 1.5, I have to say:", "raw": "Since the last update on 1.5, I have to say:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "☑️ 1. Qwen2-7B is the first model in my list that reasons 🔥 better 🔥 in Russian rather than in English; it strongly surpasses other 7B LLMs and LLaMA3-70B by correctly distributing sentiment cases (F1(PN) metric).", "raw": "☑️ 1. Qwen2-7B is the first model in my list that reasons 🔥 better 🔥 in Russian rather than in English; it strongly surpasses other 7B LLMs and LLaMA3-70B by correctly distributing sentiment cases (F1(PN) metric).", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "☑️ 2. Surprisingly, but Qwen2-7B significantly underperformed to the \"earlier bro\" Qwen1.5-7B on texts in English. The key problem is that ~17% of answers has mixed entries of labels, so for such cases the automatic and accurate assessment is difficult. Therefore, I believe it is more about particular evaluation, rather something wrong with the model in TSA domain.", "raw": "☑️ 2. Surprisingly, but Qwen2-7B significantly underperformed to the \"earlier bro\" Qwen1.5-7B on texts in English. The key problem is that ~17% of answers has mixed entries of labels, so for such cases the automatic and accurate assessment is difficult. Therefore, I believe it is more about particular evaluation, rather something wrong with the model in TSA domain.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "What's next? I have to checkout ", "raw": "What's next? I have to checkout ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Qwen/Qwen2-72B-Instruct", "href": null, "resource": { "type": "model", "id": "Qwen/Qwen2-72B-Instruct", "discussionNum": null }, "url": "https://huggingface.co/Qwen/Qwen2-72B-Instruct", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " then 🧪 If you know the best hosting for infering, please let me know 🙏", "raw": " then 🧪 If you know the best hosting for infering, please let me know 🙏", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Model: ", "raw": "Model: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Qwen/Qwen1.5-7B-Chat", "href": null, "resource": { "type": "model", "id": "Qwen/Qwen1.5-7B-Chat", "discussionNum": null }, "url": "https://huggingface.co/Qwen/Qwen1.5-7B-Chat", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I had a backlog of LoRA model weights for SDXL that I decided to prioritize this weekend and publish. I know many are using SD3 right now, however if you have the time to try them, I hope you enjoy them.", "raw": "I had a backlog of LoRA model weights for SDXL that I decided to prioritize this weekend and publish. I know many are using SD3 right now, however if you have the time to try them, I hope you enjoy them.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I intend to start writing more fully on the thought process behind my approach to curating and training style and subject finetuning, beginning this next week.", "raw": "I intend to start writing more fully on the thought process behind my approach to curating and training style and subject finetuning, beginning this next week.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Thank you for reading this post! You can find the models on my page and I'll drop a few previews here.", "raw": "Thank you for reading this post! You can find the models on my page and I'll drop a few previews here.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Observability and Retrieval Augmented Generation in 10 lines of Code", "raw": "Observability and Retrieval Augmented Generation in 10 lines of Code", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Tutorial: ", "raw": "Tutorial: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.youtube.com/watch?v=VCQ0Cw-GF2U", "href": "https://www.youtube.com/watch?v=VCQ0Cw-GF2U", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This video covers:", "raw": "This video covers:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Why we need observability?", "raw": "- Why we need observability?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Implementation of RAG using BeyondLLM", "raw": "- Implementation of RAG using BeyondLLM", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Monitor and Track LLM Observability using Phoenix ", "raw": "- Monitor and Track LLM Observability using Phoenix ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🖥️ Do you have 1TB+ VRAM?", "raw": "🖥️ Do you have 1TB+ VRAM?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🎉 Well, good news for you!", "raw": "🎉 Well, good news for you!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👨‍🔬 Good folks at ", "raw": "👨‍🔬 Good folks at ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@nvidia", "href": null, "resource": null, "url": null, "code": null, "user": "nvidia", "label": null, "lang": null }, { "type": "text", "value": " have released Nemotron 4 340B, the new open-source LLM king, rivalling GPT-4! 🚀", "raw": " have released Nemotron 4 340B, the new open-source LLM king, rivalling GPT-4! 🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📊 340B parameter models in 3 flavours: base, reward, and instruct models", "raw": "📊 340B parameter models in 3 flavours: base, reward, and instruct models", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🎯 It's a dense model, not MoE", "raw": "🎯 It's a dense model, not MoE", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👓 4k context window", "raw": "👓 4k context window", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📚 9T tokens training data, 2 phase training (8T pre-train + 1T continued pre-training)", "raw": "📚 9T tokens training data, 2 phase training (8T pre-train + 1T continued pre-training)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🌍 Trained on 50+ languages and 40+ coding languages (70% training data is English, 15% multi-lingual, 15% code)", "raw": "🌍 Trained on 50+ languages and 40+ coding languages (70% training data is English, 15% multi-lingual, 15% code)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📅 June 2023 training data cut-off", "raw": "📅 June 2023 training data cut-off", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💻 To deploy needs 8x H200/ 16x H100/ 16x A100 80GB for BF16 Inference (about 8x H100 in int4)", "raw": "💻 To deploy needs 8x H200/ 16x H100/ 16x A100 80GB for BF16 Inference (about 8x H100 in int4)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🏆 Of course, it beats Llama 3 70B on MMLU (81.1), Arena Hard (54.2), and GSM8K (92.4) ", "raw": "🏆 Of course, it beats Llama 3 70B on MMLU (81.1), Arena Hard (54.2), and GSM8K (92.4) ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤖 But beaten by Qwen 2 on HumanEval and MTBench which is a 72B parameter model", "raw": "🤖 But beaten by Qwen 2 on HumanEval and MTBench which is a 72B parameter model", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔧 Used SFT, DPO, and RPO. RLHF via Nemo Aligner framework to align the model", "raw": "🔧 Used SFT, DPO, and RPO. RLHF via Nemo Aligner framework to align the model", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📊 98% of alignment data was synthetically generated", "raw": "📊 98% of alignment data was synthetically generated", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📄 Nvidia open licence with commercial use allowed", "raw": "📄 Nvidia open licence with commercial use allowed", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "¯\\_(ツ)_/¯", "raw": "¯\\_(ツ)_/¯", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "😅 Glad to see more open models but this is one confusing fellow! ", "raw": "😅 Glad to see more open models but this is one confusing fellow! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤨340B parameter model that is narrowly beating 70B models? Starts failing against 72B models? Sounds like a model for synthetic data generation! But then it has 4k context?", "raw": "🤨340B parameter model that is narrowly beating 70B models? Starts failing against 72B models? Sounds like a model for synthetic data generation! But then it has 4k context?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔗 Models: ", "raw": "🔗 Models: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/nvidia/nemotron-4-340b-666b7ebaf1b3867caf2f1911", "href": null, "resource": { "type": "collection", "id": "nvidia/nemotron-4-340b-666b7ebaf1b3867caf2f1911", "discussionNum": null }, "url": "https://huggingface.co/collections/nvidia/nemotron-4-340b-666b7ebaf1b3867caf2f1911", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📑 Paper: ", "raw": "📑 Paper: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://research.nvidia.com/publication/2024-06_nemotron-4-340b", "href": "https://research.nvidia.com/publication/2024-06_nemotron-4-340b", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "resource", "value": null, "raw": "https://huggingface.co/nevmenandr/w2v-russian-tolstoy", "href": null, "resource": { "type": "model", "id": "nevmenandr/w2v-russian-tolstoy", "discussionNum": null }, "url": "https://huggingface.co/nevmenandr/w2v-russian-tolstoy", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```python\nimport gensim\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\n%matplotlib inline\n\nimport seaborn as sns\nsns.set_style(\"darkgrid\")\n\nfrom sklearn.decomposition import PCA\nfrom sklearn.manifold import TSNE\n\nmodelLNT2 = Word2Vec.load(\"cbow_300_10.model\")\n\n# skip some code... for full version see model's card\n\ntsnescatterplot(modelLNT2, 'жизнь_S', [i[0] for i in modelLNT2.wv.most_similar(negative=[\"жизнь_S\"])])\n```", "href": null, "resource": null, "url": null, "code": "import gensim\nimport numpy as np\nimport pandas as pd\nimport matplotlib.pyplot as plt\n%matplotlib inline\n\nimport seaborn as sns\nsns.set_style(\"darkgrid\")\n\nfrom sklearn.decomposition import PCA\nfrom sklearn.manifold import TSNE\n\nmodelLNT2 = Word2Vec.load(\"cbow_300_10.model\")\n\n# skip some code... for full version see model's card\n\ntsnescatterplot(modelLNT2, 'жизнь_S', [i[0] for i in modelLNT2.wv.most_similar(negative=[\"жизнь_S\"])])", "user": null, "label": null, "lang": "python" }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "life by Tolstoy (w2v):", "raw": "life by Tolstoy (w2v):", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Just published \"CryptGPT: A Simple Approach to Privacy-Preserving Language Models Using the Vigenere Cipher\".", "raw": "Just published \"CryptGPT: A Simple Approach to Privacy-Preserving Language Models Using the Vigenere Cipher\".", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/blog/diwank/cryptgpt-part1", "href": "https://huggingface.co/blog/diwank/cryptgpt-part1", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "tl;dr - we pretrained a gpt-2 tokenizer and model from scratch on a dataset encrypted with Vigenere cipher and it performs as well as regular gpt-2. Except in order to use it, you need to know the encryption key.", "raw": "tl;dr - we pretrained a gpt-2 tokenizer and model from scratch on a dataset encrypted with Vigenere cipher and it performs as well as regular gpt-2. Except in order to use it, you need to know the encryption key.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "links:", "raw": "links:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/creatorrr/cryptgpt", "href": "https://github.com/creatorrr/cryptgpt", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/diwank/cryptgpt", "href": null, "resource": { "type": "model", "id": "diwank/cryptgpt", "discussionNum": null }, "url": "https://huggingface.co/diwank/cryptgpt", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/diwank/cryptgpt-large", "href": null, "resource": { "type": "model", "id": "diwank/cryptgpt-large", "discussionNum": null }, "url": "https://huggingface.co/diwank/cryptgpt-large", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I've tried out my new Space for copying Websites with Gemini 1.5 Flash and i gave it a image of Huggingchat. The results were interesting, but you can see it for yourself.", "raw": "I've tried out my new Space for copying Websites with Gemini 1.5 Flash and i gave it a image of Huggingchat. The results were interesting, but you can see it for yourself.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Space:", "raw": "Space:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/L-AI/Gemini-UI-Generator", "href": null, "resource": { "type": "space", "id": "L-AI/Gemini-UI-Generator", "discussionNum": null }, "url": "https://huggingface.co/spaces/L-AI/Gemini-UI-Generator", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Website-Demo: ", "raw": "Website-Demo: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://leunos.com/hf-chat-fake", "href": "https://leunos.com/hf-chat-fake", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Screenshot:", "raw": "Screenshot:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hello!", "raw": "Hello!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I was experimenting with multi-bot interactions for practical solutions, such as code synthesis and editing. This has, so far, led to many well-made templates and no working code, but I still feel a template this lovely is worthy of use. Enjoy! 🤗 ", "raw": "I was experimenting with multi-bot interactions for practical solutions, such as code synthesis and editing. This has, so far, led to many well-made templates and no working code, but I still feel a template this lovely is worthy of use. Enjoy! 🤗 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://colab.research.google.com/gist/SMeyersMrOvkill/2ed6cbc305bc5bd62fcf1f7aab15f7b9/voice_memos.ipynb", "href": "https://colab.research.google.com/gist/SMeyersMrOvkill/2ed6cbc305bc5bd62fcf1f7aab15f7b9/voice_memos.ipynb", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Together MoA is a really interesting approach based on open source models!", "raw": "Together MoA is a really interesting approach based on open source models!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "\"We introduce Mixture of Agents (MoA), an approach to harness the collective strengths of multiple LLMs to improve state-of-the-art quality. And we provide a reference implementation, Together MoA, which leverages several open-source LLM agents to achieve a score of 65.1% on AlpacaEval 2.0, surpassing prior leader GPT-4o (57.5%).\"", "raw": "\"We introduce Mixture of Agents (MoA), an approach to harness the collective strengths of multiple LLMs to improve state-of-the-art quality. And we provide a reference implementation, Together MoA, which leverages several open-source LLM agents to achieve a score of 65.1% on AlpacaEval 2.0, surpassing prior leader GPT-4o (57.5%).\"", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Read more here: ", "raw": "Read more here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.together.ai/blog/together-moa", "href": "https://www.together.ai/blog/together-moa", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "PS: they provide some demo code: (", "raw": "PS: they provide some demo code: (", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/togethercomputer/MoA/blob/main/bot.py", "href": "https://github.com/togethercomputer/MoA/blob/main/bot.py", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ") - if someone release a Space for it it could go 🚀", "raw": ") - if someone release a Space for it it could go 🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "📊 Just measured reasoning capabilities 🧠 of Qwen1.5-7B 🇨🇳 in Target Sentiment Analysis (TSA) both for original texts (🇷🇺) and translated in English (🇺🇸), in zero-shot-learning mode. Here is what I've noticed:", "raw": "📊 Just measured reasoning capabilities 🧠 of Qwen1.5-7B 🇨🇳 in Target Sentiment Analysis (TSA) both for original texts (🇷🇺) and translated in English (🇺🇸), in zero-shot-learning mode. Here is what I've noticed:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "☑️ 1. Huge gap 📈 with the smaller Qwen1.5 and Qwen2 (1.8B and 1.8B). Qwen1.5-7B strongly outperforms their \"smaller bros\" so that case when scale of the model matters.", "raw": "☑️ 1. Huge gap 📈 with the smaller Qwen1.5 and Qwen2 (1.8B and 1.8B). Qwen1.5-7B strongly outperforms their \"smaller bros\" so that case when scale of the model matters.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "☑️ 2. Qwen1.5-7B in english (🇺🇸) behaves similar but slightly underperforming 📉 to the most latest 7B alternatives ... and even including Phi-3-small (3.4B)", "raw": "☑️ 2. Qwen1.5-7B in english (🇺🇸) behaves similar but slightly underperforming 📉 to the most latest 7B alternatives ... and even including Phi-3-small (3.4B)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "☑️ 3. On texts in (🇷🇺) there is a certain underperforming 📉 gap between the most latest 7B alternatives: F1=34.1, other 7B starts with 40.23.", "raw": "☑️ 3. On texts in (🇷🇺) there is a certain underperforming 📉 gap between the most latest 7B alternatives: F1=34.1, other 7B starts with 40.23.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "In terms of responses, for non-english texts (🇷🇺) model answers strict and behaves similar to FlanT5. ", "raw": "In terms of responses, for non-english texts (🇷🇺) model answers strict and behaves similar to FlanT5. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Curious about improvements in Qwen2-7B 🔥", "raw": "Curious about improvements in Qwen2-7B 🔥", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Model: ", "raw": "Model: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Qwen/Qwen1.5-7B-Chat", "href": null, "resource": { "type": "model", "id": "Qwen/Qwen1.5-7B-Chat", "discussionNum": null }, "url": "https://huggingface.co/Qwen/Qwen1.5-7B-Chat", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Benchmark: ", "raw": "Benchmark: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/nicolay-r/RuSentNE-LLM-Benchmark", "href": "https://github.com/nicolay-r/RuSentNE-LLM-Benchmark", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Dataset: ", "raw": "Dataset: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/dialogue-evaluation/RuSentNE-evaluation", "href": "https://github.com/dialogue-evaluation/RuSentNE-evaluation", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Related paper: Large Language Models in Targeted Sentiment Analysis (2404.12342)", "raw": "Related paper: Large Language Models in Targeted Sentiment Analysis (2404.12342)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Collection: ", "raw": "Collection: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/collections/nicolay-r/sentiment-analysis-665ba391e0eba729021ea101", "href": "https://huggingface.co/collections/nicolay-r/sentiment-analysis-665ba391e0eba729021ea101", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I've published several older versions of Vokan! Sometimes, they may sound more natural, but less like the target speaker.", "raw": "I've published several older versions of Vokan! Sometimes, they may sound more natural, but less like the target speaker.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Please check em out!", "raw": "Please check em out!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/Korakoe/Vokan-V0.5", "href": null, "resource": { "type": "space", "id": "Korakoe/Vokan-V0.5", "discussionNum": null }, "url": "https://huggingface.co/spaces/Korakoe/Vokan-V0.5", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/ShoukanLabs/Vokan", "href": null, "resource": { "type": "model", "id": "ShoukanLabs/Vokan", "discussionNum": null }, "url": "https://huggingface.co/ShoukanLabs/Vokan", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗯𝗶𝗴 𝘀𝗼𝗰𝗶𝗮𝗹 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗶𝘀 𝗻𝗼𝘁 🦋, 𝗶𝘁'𝘀 𝗛𝘂𝗯 𝗣𝗼𝘀𝘁𝘀! [INSERT STONKS MEME WITH LASER EYES]", "raw": "𝗧𝗵𝗲 𝗻𝗲𝘅𝘁 𝗯𝗶𝗴 𝘀𝗼𝗰𝗶𝗮𝗹 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 𝗶𝘀 𝗻𝗼𝘁 🦋, 𝗶𝘁'𝘀 𝗛𝘂𝗯 𝗣𝗼𝘀𝘁𝘀! [INSERT STONKS MEME WITH LASER EYES]", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "See below: I got 105k impressions since regularly posting Hub Posts, coming close to my 275k on Twitter!", "raw": "See below: I got 105k impressions since regularly posting Hub Posts, coming close to my 275k on Twitter!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⚙️ Computed with the great dataset ", "raw": "⚙️ Computed with the great dataset ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/maxiw/hf-posts", "href": null, "resource": { "type": "dataset", "id": "maxiw/hf-posts", "discussionNum": null }, "url": "https://huggingface.co/datasets/maxiw/hf-posts", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "⚙️ Thanks to Qwen2.5-Coder-32B for showing me how to access dict attributes in a SQL request!", "raw": "⚙️ Thanks to Qwen2.5-Coder-32B for showing me how to access dict attributes in a SQL request!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "cc ", "raw": "cc ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@merve", "href": null, "resource": null, "url": null, "code": null, "user": "merve", "label": null, "lang": null }, { "type": "text", "value": " who's far in front of me", "raw": " who's far in front of me", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Microsoft released LLM2CLIP: a CLIP model with longer context window for complex text inputs 🤯", "raw": "Microsoft released LLM2CLIP: a CLIP model with longer context window for complex text inputs 🤯", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "All models with Apache 2.0 license here ", "raw": "All models with Apache 2.0 license here ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/microsoft/llm2clip-672323a266173cfa40b32d4c", "href": null, "resource": { "type": "collection", "id": "microsoft/llm2clip-672323a266173cfa40b32d4c", "discussionNum": null }, "url": "https://huggingface.co/collections/microsoft/llm2clip-672323a266173cfa40b32d4c", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "TLDR; they replaced CLIP's text encoder with various LLMs fine-tuned on captioning, better top-k accuracy on retrieval.", "raw": "TLDR; they replaced CLIP's text encoder with various LLMs fine-tuned on captioning, better top-k accuracy on retrieval.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This will enable better image-text retrieval, better zero-shot image classification, better vision language models 🔥", "raw": "This will enable better image-text retrieval, better zero-shot image classification, better vision language models 🔥", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Read the paper to learn more: ", "raw": "Read the paper to learn more: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2411.04997", "href": null, "resource": { "type": "paper", "id": "2411.04997", "discussionNum": null }, "url": "https://huggingface.co/papers/2411.04997", "code": null, "user": null, "label": "LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation (2411.04997)", "lang": null } ]

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[ { "type": "text", "value": "🎙️ Listen to the audio \"Podcast\" of every single Hugging Face Daily Papers.", "raw": "🎙️ Listen to the audio \"Podcast\" of every single Hugging Face Daily Papers.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Now, \"AI Paper Reviewer\" project can automatically generates audio podcasts on any papers published on arXiv, and this is integrated into the GitHub Action pipeline. I sounds pretty similar to hashtag#NotebookLM in my opinion.", "raw": "Now, \"AI Paper Reviewer\" project can automatically generates audio podcasts on any papers published on arXiv, and this is integrated into the GitHub Action pipeline. I sounds pretty similar to hashtag#NotebookLM in my opinion.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🎙️ Try out yourself at ", "raw": "🎙️ Try out yourself at ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://deep-diver.github.io/ai-paper-reviewer/", "href": "https://deep-diver.github.io/ai-paper-reviewer/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This audio podcast is powered by Google technologies: 1) Google DeepMind Gemini 1.5 Flash model to generate scripts of a podcast, then 2) Google Cloud Vertex AI's Text to Speech model to synthesize the voice turning the scripts into the natural sounding voices (with latest addition of \"Journey\" voice style)", "raw": "This audio podcast is powered by Google technologies: 1) Google DeepMind Gemini 1.5 Flash model to generate scripts of a podcast, then 2) Google Cloud Vertex AI's Text to Speech model to synthesize the voice turning the scripts into the natural sounding voices (with latest addition of \"Journey\" voice style)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "\"AI Paper Reviewer\" is also an open source project. Anyone can use it to build and own a personal blog on any papers of your interests. Hence, checkout the project repository below if you are interested in! ", "raw": "\"AI Paper Reviewer\" is also an open source project. Anyone can use it to build and own a personal blog on any papers of your interests. Hence, checkout the project repository below if you are interested in! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ": ", "raw": ": ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/deep-diver/paper-reviewer", "href": "https://github.com/deep-diver/paper-reviewer", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This project is going to support other models including open weights soon for both text-based content generation and voice synthesis for the podcast. The only reason I chose Gemini model is that it offers a \"free-tier\" which is enough to shape up this projects with non-realtime batch generations. I'm excited to see how others will use this tool to explore the world of AI research, hence feel free to share your feedback and suggestions!", "raw": "This project is going to support other models including open weights soon for both text-based content generation and voice synthesis for the podcast. The only reason I chose Gemini model is that it offers a \"free-tier\" which is enough to shape up this projects with non-realtime batch generations. I'm excited to see how others will use this tool to explore the world of AI research, hence feel free to share your feedback and suggestions!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "⚠️ People selling AI chatbots for websites hate us.", "raw": "⚠️ People selling AI chatbots for websites hate us.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Add an open source chat assistant on your website in 5 minutes: ", "raw": "Add an open source chat assistant on your website in 5 minutes: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/phospho-app/ai-chat-bubble", "href": "https://github.com/phospho-app/ai-chat-bubble", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "How does it work ? ", "raw": "How does it work ? ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- You give an URL", "raw": "- You give an URL", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- The AI assistant crawls the website content and embed it", "raw": "- The AI assistant crawls the website content and embed it", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Add it to your frontend in one line of code", "raw": "- Add it to your frontend in one line of code", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- People on your website can ask the assistant questions", "raw": "- People on your website can ask the assistant questions", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Powered by ", "raw": "Powered by ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/BAAI/bge-small-en-v1.5", "href": null, "resource": { "type": "model", "id": "BAAI/bge-small-en-v1.5", "discussionNum": null }, "url": "https://huggingface.co/BAAI/bge-small-en-v1.5", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " and Mistral AI", "raw": " and Mistral AI", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "ever wondered how you can make an API call to a visual-question-answering model without sending an image url 👀 ", "raw": "ever wondered how you can make an API call to a visual-question-answering model without sending an image url 👀 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "you can do that by converting your local image to base64 and sending it to the API.", "raw": "you can do that by converting your local image to base64 and sending it to the API.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "recently I made some changes to my library \"loadimg\" that allows you to make converting images to base64 a breeze.", "raw": "recently I made some changes to my library \"loadimg\" that allows you to make converting images to base64 a breeze.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔗 ", "raw": "🔗 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/not-lain/loadimg", "href": "https://github.com/not-lain/loadimg", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "API request example 🛠️: ", "raw": "API request example 🛠️: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```python\nfrom loadimg import load_img\nfrom huggingface_hub import InferenceClient\n\n# or load a local image\nmy_b64_img = load_img(imgPath_url_pillow_or_numpy ,output_type=\"base64\" ) \n\nclient = InferenceClient(api_key=\"hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\")\n\nmessages = [\n\t{\n\t\t\"role\": \"user\",\n\t\t\"content\": [\n\t\t\t{\n\t\t\t\t\"type\": \"text\",\n\t\t\t\t\"text\": \"Describe this image in one sentence.\"\n\t\t\t},\n\t\t\t{\n\t\t\t\t\"type\": \"image_url\",\n\t\t\t\t\"image_url\": {\n\t\t\t\t\t\"url\": my_b64_img # base64 allows using images without uploading them to the web\n\t\t\t\t}\n\t\t\t}\n\t\t]\n\t}\n]\n\nstream = client.chat.completions.create(\n model=\"meta-llama/Llama-3.2-11B-Vision-Instruct\", \n\tmessages=messages, \n\tmax_tokens=500,\n\tstream=True\n)\n\nfor chunk in stream:\n print(chunk.choices[0].delta.content, end=\"\")\n```", "href": null, "resource": null, "url": null, "code": "from loadimg import load_img\nfrom huggingface_hub import InferenceClient\n\n# or load a local image\nmy_b64_img = load_img(imgPath_url_pillow_or_numpy ,output_type=\"base64\" ) \n\nclient = InferenceClient(api_key=\"hf_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\")\n\nmessages = [\n\t{\n\t\t\"role\": \"user\",\n\t\t\"content\": [\n\t\t\t{\n\t\t\t\t\"type\": \"text\",\n\t\t\t\t\"text\": \"Describe this image in one sentence.\"\n\t\t\t},\n\t\t\t{\n\t\t\t\t\"type\": \"image_url\",\n\t\t\t\t\"image_url\": {\n\t\t\t\t\t\"url\": my_b64_img # base64 allows using images without uploading them to the web\n\t\t\t\t}\n\t\t\t}\n\t\t]\n\t}\n]\n\nstream = client.chat.completions.create(\n model=\"meta-llama/Llama-3.2-11B-Vision-Instruct\", \n\tmessages=messages, \n\tmax_tokens=500,\n\tstream=True\n)\n\nfor chunk in stream:\n print(chunk.choices[0].delta.content, end=\"\")", "user": null, "label": null, "lang": "python" }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I'm curating an AI-powered web search software timeline at ", "raw": "I'm curating an AI-powered web search software timeline at ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/felladrin/awesome-ai-web-search", "href": "https://github.com/felladrin/awesome-ai-web-search", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The list covers three main categories:", "raw": "The list covers three main categories:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "1. Web Search with LLM summarization and follow-up capabilities", "raw": "1. Web Search with LLM summarization and follow-up capabilities", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "2. LLM chat interfaces with Web Search integration", "raw": "2. LLM chat interfaces with Web Search integration", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "3. Agent-driven research tools using LLM + Web Search", "raw": "3. Agent-driven research tools using LLM + Web Search", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The timeline helps track the evolution of this space and serves as a reference for anyone looking for alternatives. If you know of any tools that should be included, please contribute by:", "raw": "The timeline helps track the evolution of this space and serves as a reference for anyone looking for alternatives. If you know of any tools that should be included, please contribute by:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- opening a PR to edit the readme: ", "raw": "- opening a PR to edit the readme: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/felladrin/awesome-ai-web-search/edit/main/readme.md", "href": "https://github.com/felladrin/awesome-ai-web-search/edit/main/readme.md", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- creating an issue in the repository: ", "raw": "- creating an issue in the repository: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/felladrin/awesome-ai-web-search/issues/new/choose", "href": "https://github.com/felladrin/awesome-ai-web-search/issues/new/choose", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- or sharing in the comments below.", "raw": "- or sharing in the comments below.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I’ve published a new dataset to simplify model merging 🤗", "raw": "I’ve published a new dataset to simplify model merging 🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This dataset facilitates the search for compatible architectures for model merging with @arcee_ai’s mergekit, streamlining the automation of high-performance merge searches 📖", "raw": "This dataset facilitates the search for compatible architectures for model merging with @arcee_ai’s mergekit, streamlining the automation of high-performance merge searches 📖", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Dataset : ", "raw": "Dataset : ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/louisbrulenaudet/mergekit-configs", "href": null, "resource": { "type": "dataset", "id": "louisbrulenaudet/mergekit-configs", "discussionNum": null }, "url": "https://huggingface.co/datasets/louisbrulenaudet/mergekit-configs", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "✍️ the last few weeks has been very intense! ", "raw": "✍️ the last few weeks has been very intense! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔴 I have been out all weekends", "raw": "🔴 I have been out all weekends", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔴 Participated in 4 hackathons in a row (2 more to come!)", "raw": "🔴 Participated in 4 hackathons in a row (2 more to come!)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔴 Even threw a big hackathon myself! ", "raw": "🔴 Even threw a big hackathon myself! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Nonetheless, I am in school again 🏫, which meant... ✨homework✨", "raw": "Nonetheless, I am in school again 🏫, which meant... ✨homework✨", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "➡️ Head out to here ", "raw": "➡️ Head out to here ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://x.com/_fracapuano/status/1856415612202799243", "href": "https://x.com/_fracapuano/status/1856415612202799243", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " to read more about how I used ", "raw": " to read more about how I used ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@mistralai", "href": null, "resource": null, "url": null, "code": null, "user": "mistralai", "label": null, "lang": null }, { "type": "text", "value": " models to help me with my assignments (not how you think I did hihi 😏)", "raw": " models to help me with my assignments (not how you think I did hihi 😏)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "➡️ Check outhttps://huggingface.co/spaces/fracapuano/texstral if you want to use the tool yourself! ", "raw": "➡️ Check outhttps://huggingface.co/spaces/fracapuano/texstral if you want to use the tool yourself! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "My Hypothesis:", "raw": "My Hypothesis:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Concepts like entropy, energy, and the second law of thermodynamics are not intrinsic to physical matter but are emergent properties of any sufficiently complex system where probabilistic decision-making, optimization, and information flow occur. These principles arise naturally in artificial environments that are structured with rules governing uncertainty, even without explicit definitions of physical thermodynamic laws.", "raw": "Concepts like entropy, energy, and the second law of thermodynamics are not intrinsic to physical matter but are emergent properties of any sufficiently complex system where probabilistic decision-making, optimization, and information flow occur. These principles arise naturally in artificial environments that are structured with rules governing uncertainty, even without explicit definitions of physical thermodynamic laws.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Proven Via:", "raw": "Proven Via:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The Second Law of Thermodynamics", "raw": "The Second Law of Thermodynamics", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Geometric Langlands Program", "raw": "Geometric Langlands Program", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Lagrangean Mechanics", "raw": "Lagrangean Mechanics", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "TL;DR: When I create a simulated environment, I do not need to code entropy and energy into the simulated environment. I can utilize Entropy and the Second Law of Thermodynamics and I can use Conservation of Energy, but I do not need to explicitly code these into the environment. That is peculiar. ", "raw": "TL;DR: When I create a simulated environment, I do not need to code entropy and energy into the simulated environment. I can utilize Entropy and the Second Law of Thermodynamics and I can use Conservation of Energy, but I do not need to explicitly code these into the environment. That is peculiar. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I made a video with a clickbait title but a bunch of code that breaks this observation down further. Would love for someone to prove my simple observation false: ", "raw": "I made a video with a clickbait title but a bunch of code that breaks this observation down further. Would love for someone to prove my simple observation false: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://youtu.be/8n7SXLj7P1o", "href": "https://youtu.be/8n7SXLj7P1o", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🚀 llava-calm2-siglip", "raw": "🚀 llava-calm2-siglip", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "CyberAgent Inc. has announced the public release of \"llava-calm2-siglip,\" a 7.5 billion parameter Vision Language Model (VLM) for Japanese, available for commercial use. This model, trained primarily on a high-quality Japanese dataset, is accessible on Hugging Face Hub under an Apache-2.0 license. The advancement aims to improve Japanese language-specific VLMs, which are fewer compared to English-centric models.", "raw": "CyberAgent Inc. has announced the public release of \"llava-calm2-siglip,\" a 7.5 billion parameter Vision Language Model (VLM) for Japanese, available for commercial use. This model, trained primarily on a high-quality Japanese dataset, is accessible on Hugging Face Hub under an Apache-2.0 license. The advancement aims to improve Japanese language-specific VLMs, which are fewer compared to English-centric models.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Model URL:", "raw": "Model URL:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/cyberagent/llava-calm2-siglip", "href": null, "resource": { "type": "model", "id": "cyberagent/llava-calm2-siglip", "discussionNum": null }, "url": "https://huggingface.co/cyberagent/llava-calm2-siglip", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Demo URL:", "raw": "Demo URL:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/cyberagent/llava-calm2-preview", "href": null, "resource": { "type": "space", "id": "cyberagent/llava-calm2-preview", "discussionNum": null }, "url": "https://huggingface.co/spaces/cyberagent/llava-calm2-preview", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Detailed press release (in Japanese): ", "raw": "Detailed press release (in Japanese): ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.cyberagent.co.jp/news/detail/id=30344", "href": "https://www.cyberagent.co.jp/news/detail/id=30344", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Chatting with llava is tricky", "raw": "Chatting with llava is tricky", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/nroggendorff/llava", "href": null, "resource": { "type": "space", "id": "nroggendorff/llava", "discussionNum": null }, "url": "https://huggingface.co/spaces/nroggendorff/llava", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🔍 Remember Tensorboard graph visualizer?", "raw": "🔍 Remember Tensorboard graph visualizer?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🚀 ", "raw": "🚀 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Google", "href": null, "resource": null, "url": null, "code": null, "user": "Google", "label": null, "lang": null }, { "type": "text", "value": " just released Model Explorer, a Tensorboard graph visualizer on steroids 💪.", "raw": " just released Model Explorer, a Tensorboard graph visualizer on steroids 💪.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🛠️ Model Explorer is a graph visualization tool designed to improve understanding, debugging, and optimizing machine learning (ML) models, especially large ones.", "raw": "🛠️ Model Explorer is a graph visualization tool designed to improve understanding, debugging, and optimizing machine learning (ML) models, especially large ones.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🎯 It addresses challenges in traditional graph visualization tools by implementing a hierarchical layout and GPU-accelerated graph rendering, which enhances performance and usability.", "raw": "🎯 It addresses challenges in traditional graph visualization tools by implementing a hierarchical layout and GPU-accelerated graph rendering, which enhances performance and usability.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🌐 The tool supports visualization of large-scale ML models by displaying hierarchical information, which simplifies understanding complex model architectures.", "raw": "🌐 The tool supports visualization of large-scale ML models by displaying hierarchical information, which simplifies understanding complex model architectures.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔑 Key features include layer-by-layer exploration 🔍, side-by-side graph comparison for debugging conversion errors 🐛, and per-node data overlays for identifying performance issues 📈.", "raw": "🔑 Key features include layer-by-layer exploration 🔍, side-by-side graph comparison for debugging conversion errors 🐛, and per-node data overlays for identifying performance issues 📈.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "👨‍💻 Originally developed for Google's internal use, Model Explorer is now available publicly as part of the Google AI Edge family of products and even runs directly in colab!", "raw": "👨‍💻 Originally developed for Google's internal use, Model Explorer is now available publicly as part of the Google AI Edge family of products and even runs directly in colab!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔗 Colab: ", "raw": "🔗 Colab: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/google-ai-edge/model-explorer/blob/main/example_colabs/quick_start.ipynb", "href": "https://github.com/google-ai-edge/model-explorer/blob/main/example_colabs/quick_start.ipynb", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📰 Blog: ", "raw": "📰 Blog: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://research.google/blog/model-explorer/", "href": "https://research.google/blog/model-explorer/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Wow, impressive 340B model by nvidia with a nice permissive license! 🚀 The technical report is full of insights and seems to use a different learning rate schedule than cosine, probably a variant of WSD. Hope to get more info on that! 👀", "raw": "Wow, impressive 340B model by nvidia with a nice permissive license! 🚀 The technical report is full of insights and seems to use a different learning rate schedule than cosine, probably a variant of WSD. Hope to get more info on that! 👀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/nvidia/nemotron-4-340b-666b7ebaf1b3867caf2f1911", "href": null, "resource": { "type": "collection", "id": "nvidia/nemotron-4-340b-666b7ebaf1b3867caf2f1911", "discussionNum": null }, "url": "https://huggingface.co/collections/nvidia/nemotron-4-340b-666b7ebaf1b3867caf2f1911", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Me: I want on device AI: fast, without latency, with real privacy, convenient for use and development. ", "raw": "Me: I want on device AI: fast, without latency, with real privacy, convenient for use and development. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Microsoft: The best I can do is Copilot+. You need a special Qualcomm chip and Windows 11 24H2. Today I can give you only Recall, taking screenshots and running a visual model to write context about what you are doing in the unencrypted Semantic Index database for embeddings. I'm giving you SLMs Phi Silica, accessible only via API and SDK. In the autumn I can give you the developer tools for C#/C++ and you can use them.", "raw": "Microsoft: The best I can do is Copilot+. You need a special Qualcomm chip and Windows 11 24H2. Today I can give you only Recall, taking screenshots and running a visual model to write context about what you are doing in the unencrypted Semantic Index database for embeddings. I'm giving you SLMs Phi Silica, accessible only via API and SDK. In the autumn I can give you the developer tools for C#/C++ and you can use them.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Apple: The best I can do is Apple Intelligence. You need a special Apple chip and macOS 15. Today I can give you only marketing. In the autumn I can give you on-device 3B quantized to 3.5bit mysterious SLMs and diffusion models with LoRA adapters. We will have an encrypted Semantic Index database for embeddings and agentic flows with function calling. We will call all of them with different names. In the autumn I will give you the developer tools in Swift and you can use them.", "raw": "Apple: The best I can do is Apple Intelligence. You need a special Apple chip and macOS 15. Today I can give you only marketing. In the autumn I can give you on-device 3B quantized to 3.5bit mysterious SLMs and diffusion models with LoRA adapters. We will have an encrypted Semantic Index database for embeddings and agentic flows with function calling. We will call all of them with different names. In the autumn I will give you the developer tools in Swift and you can use them.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Open Source: The best I can do is llama.cpp. You can run it on any chip and OS. Today you can run AI inferencing on device and add other open source components for your solution. I can give you local AI models SLMs/LLMs - from wqen2-0.5B to Llama3-70B. You can have an encrypted local embeddings database with PostgreSQL/pgvector or SQLite-Vec. I can give you a wide choice of integrations and open-source components for your solution- from UIs to agentic workflows with function calling. Today I can give you the developer tools in Python/C/C++/Rust/Go/Node.js/JS/C#/Scala/Java and you can use them.", "raw": "Open Source: The best I can do is llama.cpp. You can run it on any chip and OS. Today you can run AI inferencing on device and add other open source components for your solution. I can give you local AI models SLMs/LLMs - from wqen2-0.5B to Llama3-70B. You can have an encrypted local embeddings database with PostgreSQL/pgvector or SQLite-Vec. I can give you a wide choice of integrations and open-source components for your solution- from UIs to agentic workflows with function calling. Today I can give you the developer tools in Python/C/C++/Rust/Go/Node.js/JS/C#/Scala/Java and you can use them.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Make sure you own your AI. AI in the cloud is not aligned with you; it's aligned with the company that owns it.", "raw": "Make sure you own your AI. AI in the cloud is not aligned with you; it's aligned with the company that owns it.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "mention", "value": null, "raw": "@CHANEFO", "href": null, "resource": null, "url": null, "code": null, "user": "CHANEFO", "label": null, "lang": null }, { "type": "text", "value": " suite à votre post.", "raw": " suite à votre post.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Je peux essayer peut-être de vous guider ? ", "raw": "Je peux essayer peut-être de vous guider ? ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "« Si je souhaite paramétrer un assistant orienté vers un sujet spécifique concernant l'application du droit du travail dans mon entreprise, comment procéder ?", "raw": "« Si je souhaite paramétrer un assistant orienté vers un sujet spécifique concernant l'application du droit du travail dans mon entreprise, comment procéder ?", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Le but de faire référence à un ensemble de document en lien avec des accords collectif qui sont dans des document type PDF ou WORD. Quel limite sur la taille des documents et ou téléchargé les fichier pour y faire référence ? »", "raw": "Le but de faire référence à un ensemble de document en lien avec des accords collectif qui sont dans des document type PDF ou WORD. Quel limite sur la taille des documents et ou téléchargé les fichier pour y faire référence ? »", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Wow, this is amazing! 🤯", "raw": "Wow, this is amazing! 🤯", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Samba is a powerful hybrid model with an unlimited context length, combining Mamba, MLP, Sliding Window Attention, and MLP stacking. Samba largest version, Samba-3.8B, trained on 3.2 trillion tokens, excels in benchmarks like MMLU, GSM8K, and HumanEval, and shines in long-context tasks with minimal tuning.", "raw": "Samba is a powerful hybrid model with an unlimited context length, combining Mamba, MLP, Sliding Window Attention, and MLP stacking. Samba largest version, Samba-3.8B, trained on 3.2 trillion tokens, excels in benchmarks like MMLU, GSM8K, and HumanEval, and shines in long-context tasks with minimal tuning.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "---", "raw": "---", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Official implementation of \"Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling\"", "raw": "Official implementation of \"Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling\"", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Github: ", "raw": "Github: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/microsoft/Samba", "href": "https://github.com/microsoft/Samba", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "📢 Suprisingly, there are so many works on imputing personalities in LLM and vice versa. However, there is a gap in literature novels 📚 for mining that personalities from book itself. With that I am happy to release worflow that 🔥 solely 🔥 relies on book content only 📖 for personalities extraction:", "raw": "📢 Suprisingly, there are so many works on imputing personalities in LLM and vice versa. However, there is a gap in literature novels 📚 for mining that personalities from book itself. With that I am happy to release worflow that 🔥 solely 🔥 relies on book content only 📖 for personalities extraction:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/nicolay-r/book-persona-retriever", "href": "https://github.com/nicolay-r/book-persona-retriever", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💡 The downstream goal of this workflow is to enhance charactes understanding ... and not just through their mentions in books, but through their personalities (⛏ retrieved with the given lexicon from the 📖 itself)", "raw": "💡 The downstream goal of this workflow is to enhance charactes understanding ... and not just through their mentions in books, but through their personalities (⛏ retrieved with the given lexicon from the 📖 itself)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The most closest studies such as PERSONA-CHAT (arXiv:1801.07243v5), BookEmbeddingEval (2022.findings-acl.81.pdf), ALOHA-Chatbot ( arXiv:1910.08293v4), Meet your favorite Character (arXiv:2204.10825), and PRODIGy (arXiv:2311.05195v1) were so valuable 💎 ! 👏", "raw": "The most closest studies such as PERSONA-CHAT (arXiv:1801.07243v5), BookEmbeddingEval (2022.findings-acl.81.pdf), ALOHA-Chatbot ( arXiv:1910.08293v4), Meet your favorite Character (arXiv:2204.10825), and PRODIGy (arXiv:2311.05195v1) were so valuable 💎 ! 👏", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Curious on existance of the fine-tuned LLM for detecting personalities in text passages on huggingface hub 🤗 If you aware about the one coud be potentially embedded into system for further advances, please feel free to recomend 🙌 ", "raw": "Curious on existance of the fine-tuned LLM for detecting personalities in text passages on huggingface hub 🤗 If you aware about the one coud be potentially embedded into system for further advances, please feel free to recomend 🙌 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Today is a huge day in Argilla’s history. We couldn’t be more excited to share this with the community: we’re joining Hugging Face! ", "raw": "Today is a huge day in Argilla’s history. We couldn’t be more excited to share this with the community: we’re joining Hugging Face! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "We’re embracing a larger mission, becoming part of a brilliant and kind team and a shared vision about the future of AI. ", "raw": "We’re embracing a larger mission, becoming part of a brilliant and kind team and a shared vision about the future of AI. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Over the past year, we’ve been collaborating with Hugging Face on countless projects: launching partner of Docker Spaces, empowering the community to clean Alpaca translations into Spanish and other languages, launching ", "raw": "Over the past year, we’ve been collaborating with Hugging Face on countless projects: launching partner of Docker Spaces, empowering the community to clean Alpaca translations into Spanish and other languages, launching ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/argilla/notus-7b-v1", "href": null, "resource": { "type": "model", "id": "argilla/notus-7b-v1", "discussionNum": null }, "url": "https://huggingface.co/argilla/notus-7b-v1", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " building on Zephyr’s learnings, the Data is Better Together initiative with hundreds of community contributors, or releasing ", "raw": " building on Zephyr’s learnings, the Data is Better Together initiative with hundreds of community contributors, or releasing ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/datasets/argilla/OpenHermesPreferences", "href": null, "resource": { "type": "dataset", "id": "argilla/OpenHermesPreferences", "discussionNum": null }, "url": "https://huggingface.co/datasets/argilla/OpenHermesPreferences", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ", one of the largest open preference tuning datasets ", "raw": ", one of the largest open preference tuning datasets ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "After more than 2,000 Slack messages and over 60 people collaborating for over a year, it already felt like we were part of the same team, pushing in the same direction. After a week of the smoothest transition you can imagine, we’re now the same team. ", "raw": "After more than 2,000 Slack messages and over 60 people collaborating for over a year, it already felt like we were part of the same team, pushing in the same direction. After a week of the smoothest transition you can imagine, we’re now the same team. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "To those of you who’ve been following us, this won’t be a huge surprise, but it will be a big deal in the coming months. This acquisition means we’ll double down on empowering the community to build and collaborate on high quality datasets, we’ll bring full support for multimodal datasets, and we’ll be in a better place to collaborate with the Open Source AI community. For enterprises, this means that the Enterprise Hub will unlock highly requested features like single sign-on and integration with Inference Endpoints.", "raw": "To those of you who’ve been following us, this won’t be a huge surprise, but it will be a big deal in the coming months. This acquisition means we’ll double down on empowering the community to build and collaborate on high quality datasets, we’ll bring full support for multimodal datasets, and we’ll be in a better place to collaborate with the Open Source AI community. For enterprises, this means that the Enterprise Hub will unlock highly requested features like single sign-on and integration with Inference Endpoints.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "As a founder, I am proud of the Argilla team. We're now part of something bigger and a larger team but with the same values, culture, and goals. Grateful to have shared this journey with my beloved co-founders Paco and Amélie.", "raw": "As a founder, I am proud of the Argilla team. We're now part of something bigger and a larger team but with the same values, culture, and goals. Grateful to have shared this journey with my beloved co-founders Paco and Amélie.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Finally, huge thanks to the Chief Llama Officer ", "raw": "Finally, huge thanks to the Chief Llama Officer ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@osanseviero", "href": null, "resource": null, "url": null, "code": null, "user": "osanseviero", "label": null, "lang": null }, { "type": "text", "value": " for sparking this and being such a great partner during the acquisition process.", "raw": " for sparking this and being such a great partner during the acquisition process.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Would love to answer any questions you have so feel free to add them below! ", "raw": "Would love to answer any questions you have so feel free to add them below! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Automatically generate docstrings for your code using LLMs. We just released a new patchflow that can generate docstrings - ", "raw": "Automatically generate docstrings for your code using LLMs. We just released a new patchflow that can generate docstrings - ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/patched-codes/patchwork/tree/main/patchwork/patchflows/GenerateDocstring", "href": "https://github.com/patched-codes/patchwork/tree/main/patchwork/patchflows/GenerateDocstring", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Here is an example PR that does it - ", "raw": "Here is an example PR that does it - ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/codelion/example-java-maven/pull/4", "href": "https://github.com/codelion/example-java-maven/pull/4", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "You can check out other patchflows to automate developer chores with patchwork ", "raw": "You can check out other patchflows to automate developer chores with patchwork ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/patched-codes/patchwork", "href": "https://github.com/patched-codes/patchwork", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I've spent some time checking the promises vs reality of on-device AI between Apple Intelligence and Microsoft Copilot+. Reading the marketing documentation is good, but not enough. Hands-on tests are the best, unfortunately, both are not there yet.", "raw": "I've spent some time checking the promises vs reality of on-device AI between Apple Intelligence and Microsoft Copilot+. Reading the marketing documentation is good, but not enough. Hands-on tests are the best, unfortunately, both are not there yet.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Both are looking to lock developers behind local API to the SLM inferencing engine and SDK mix of open source and proprietary code. Both can not work air-gapped and offline for meaningful workflows, only some basic ones and both require the hybrid AI local/remote plane calling back either APIs on Azure or the Apple Private Cloud Compute. ", "raw": "Both are looking to lock developers behind local API to the SLM inferencing engine and SDK mix of open source and proprietary code. Both can not work air-gapped and offline for meaningful workflows, only some basic ones and both require the hybrid AI local/remote plane calling back either APIs on Azure or the Apple Private Cloud Compute. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Some of the Copilot+ functionally is available in Windows App SDK 1.6 exp2. It's focused on the old-school enterprise developers and not sure if they will be the early adaptors of GenAI-backed apps... I still have the Recall on my dev-PC as they have removed it.", "raw": "Some of the Copilot+ functionally is available in Windows App SDK 1.6 exp2. It's focused on the old-school enterprise developers and not sure if they will be the early adaptors of GenAI-backed apps... I still have the Recall on my dev-PC as they have removed it.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Apple Intelligence is hard to get beyond the vague description and the State of the Union video. Even the current beta of macOS 15 and xcode don't have any \"A.I.\" in them. At the moment it is all promises and a lack of technical documentation and code. ", "raw": "Apple Intelligence is hard to get beyond the vague description and the State of the Union video. Even the current beta of macOS 15 and xcode don't have any \"A.I.\" in them. At the moment it is all promises and a lack of technical documentation and code. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Make sure you own your AI. AI in the cloud is not aligned with you; it's aligned with the company that owns it.", "raw": "Make sure you own your AI. AI in the cloud is not aligned with you; it's aligned with the company that owns it.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Luma AI has just launched Dream Machine, a Sora and Kling AI-like tool that generates videos from simple text and images. 🎥", "raw": "Luma AI has just launched Dream Machine, a Sora and Kling AI-like tool that generates videos from simple text and images. 🎥", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Dream Machine is out of beta and offers a free tier to test it out.", "raw": "Dream Machine is out of beta and offers a free tier to test it out.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I tried this extremely simple prompt with the pic below and thought the capture of my prompt into a drone camera-like video was decent:", "raw": "I tried this extremely simple prompt with the pic below and thought the capture of my prompt into a drone camera-like video was decent:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```\nYou are a drone operator. Create a 30-second video from a drone heading eastbound over the western suburbs of Bismarck, North Dakota, looking east towards the city on an overcast summer evening during the golden hour from an altitude of 200 ft.\n```", "href": null, "resource": null, "url": null, "code": "You are a drone operator. Create a 30-second video from a drone heading eastbound over the western suburbs of Bismarck, North Dakota, looking east towards the city on an overcast summer evening during the golden hour from an altitude of 200 ft.", "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Dream Machine also has a paid tier. However, like its paid tier text-to-image brethren from 2023 (who all fared EXTREMELY badly once good text-to-image capabilities became the norm in open and closed source LLMs), time will tell if the pay tier model will work for text and image to video. ⏳ ", "raw": "Dream Machine also has a paid tier. However, like its paid tier text-to-image brethren from 2023 (who all fared EXTREMELY badly once good text-to-image capabilities became the norm in open and closed source LLMs), time will tell if the pay tier model will work for text and image to video. ⏳ ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "This will be evident in 3 to 5 months once GPT-5, Gemini-2, Mistral-9, Llama 4, et al., all models with enhanced multimodal capabilities, are released. 🚀", "raw": "This will be evident in 3 to 5 months once GPT-5, Gemini-2, Mistral-9, Llama 4, et al., all models with enhanced multimodal capabilities, are released. 🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hello everyone,", "raw": "Hello everyone,", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I am pleased to announce that I have founded the University of Glasgow organization on Huggingface. If you are affiliated with the University of Glasgow or have a relative who is, you can log in through the relevant link.", "raw": "I am pleased to announce that I have founded the University of Glasgow organization on Huggingface. If you are affiliated with the University of Glasgow or have a relative who is, you can log in through the relevant link.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/UniversityofGlasgow", "href": "https://huggingface.co/UniversityofGlasgow", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "There are 2.2 billion active ", "raw": "There are 2.2 billion active ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@Apple", "href": null, "resource": null, "url": null, "code": null, "user": "Apple", "label": null, "lang": null }, { "type": "text", "value": " devices 🍏 and all of them just got smarter thanks to Apple Intelligence (AI) 🧠", "raw": " devices 🍏 and all of them just got smarter thanks to Apple Intelligence (AI) 🧠", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Well, almost all devices... 🤔", "raw": "Well, almost all devices... 🤔", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Your device needs:", "raw": "Your device needs:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- A17 Pro chip or later if it's an iPhone 📱,", "raw": "- A17 Pro chip or later if it's an iPhone 📱,", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- M1 chip or later if iPad 📱,", "raw": "- M1 chip or later if iPad 📱,", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- M1 chip or later if Mac 💻.", "raw": "- M1 chip or later if Mac 💻.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "All this aside, this is probably the largest deployment of on-device LLMs 🌍.", "raw": "All this aside, this is probably the largest deployment of on-device LLMs 🌍.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Here is the technical goodness:", "raw": "Here is the technical goodness:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- AI will run ~3B LLM on device (Mac, iPhone, iPad) with grouped-query-attention, activation, and embedding quantization (Talaria bit rate selection) running on the neural engine 🚀.", "raw": "- AI will run ~3B LLM on device (Mac, iPhone, iPad) with grouped-query-attention, activation, and embedding quantization (Talaria bit rate selection) running on the neural engine 🚀.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Will be using fine-tuned LoRA Adapters for different tasks, claiming to outperform other 7B and 3B LLMs! 🥇", "raw": "- Will be using fine-tuned LoRA Adapters for different tasks, claiming to outperform other 7B and 3B LLMs! 🥇", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- iPhone 15 Pro 0.6 ms time-to-first-token with 30 tokens/second latency ⏱.", "raw": "- iPhone 15 Pro 0.6 ms time-to-first-token with 30 tokens/second latency ⏱.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- No server model size or details 🤐.", "raw": "- No server model size or details 🤐.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Will be dynamically loading, caching, and swapping LoRA adapters (think LoRA Land) 🔄.", "raw": "- Will be dynamically loading, caching, and swapping LoRA adapters (think LoRA Land) 🔄.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- On-device model has 49K vocab size, while the server model goes 100K 📚.", "raw": "- On-device model has 49K vocab size, while the server model goes 100K 📚.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Using rejection sampling fine-tuning and RLHF in post-processing 📈.", "raw": "- Using rejection sampling fine-tuning and RLHF in post-processing 📈.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- A rejection sampling fine-tuning algorithm with teacher committee 🎓.", "raw": "- A rejection sampling fine-tuning algorithm with teacher committee 🎓.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- And reinforcement learning from human feedback (RLHF) algorithm with mirror descent policy optimization and a leave-one-out advantage estimator 🧮.", "raw": "- And reinforcement learning from human feedback (RLHF) algorithm with mirror descent policy optimization and a leave-one-out advantage estimator 🧮.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Used synthetic data generation (from bigger models, does not mention which) for tasks like summaries 📝.", "raw": "- Used synthetic data generation (from bigger models, does not mention which) for tasks like summaries 📝.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- 750 evaluation samples for each production use case to evaluate summarization (dataset not released) 📊.", "raw": "- 750 evaluation samples for each production use case to evaluate summarization (dataset not released) 📊.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- No mention of multilingual support 🌐.", "raw": "- No mention of multilingual support 🌐.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Used Apple's AXLearn framework (JAX) and FSP to train on TPUs and GPUs 💪.", "raw": "- Used Apple's AXLearn framework (JAX) and FSP to train on TPUs and GPUs 💪.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- 3B + Adapter outperforms Phi-3 mini, Gemma 7B, Mistral 7B on summarization 🏆.", "raw": "- 3B + Adapter outperforms Phi-3 mini, Gemma 7B, Mistral 7B on summarization 🏆.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- 3B + Adapter achieves 78.7% on IFEval beating Phi-3 mini, Gemma 7B, Mistral 7B; Server Model matches GPT-4-Turbo and beats Mixtral 8x22B and GPT-3.5-turbo ✨.", "raw": "- 3B + Adapter achieves 78.7% on IFEval beating Phi-3 mini, Gemma 7B, Mistral 7B; Server Model matches GPT-4-Turbo and beats Mixtral 8x22B and GPT-3.5-turbo ✨.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "LoRA for the win! 🎉", "raw": "LoRA for the win! 🎉", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": 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[ { "type": "text", "value": "MobileNetV4 weights are now in timm! So far these are the only weights for these models as the offiicial Tensorflow impl remains weightless.", "raw": "MobileNetV4 weights are now in timm! So far these are the only weights for these models as the offiicial Tensorflow impl remains weightless.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Guided by paper hparams with a few tweaks, I've managed to match or beat the paper results training the medium models. I'm still working on large and improving the small result. They appear to be solid models for on-device use.", "raw": "Guided by paper hparams with a few tweaks, I've managed to match or beat the paper results training the medium models. I'm still working on large and improving the small result. They appear to be solid models for on-device use.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/timm/mobilenetv4-pretrained-weights-6669c22cda4db4244def9637", "href": null, "resource": { "type": "collection", "id": "timm/mobilenetv4-pretrained-weights-6669c22cda4db4244def9637", "discussionNum": null }, "url": "https://huggingface.co/collections/timm/mobilenetv4-pretrained-weights-6669c22cda4db4244def9637", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/papers/2404.10518", "href": null, "resource": { "type": "paper", "id": "2404.10518", "discussionNum": null }, "url": "https://huggingface.co/papers/2404.10518", "code": null, "user": null, "label": "MobileNetV4 -- Universal Models for the Mobile Ecosystem (2404.10518)", "lang": null } ]

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[ { "type": "text", "value": "Stable Diffusion 3: Scaling Rectified Flow Transformers for High-Resolution Image Synthesis ", "raw": "Stable Diffusion 3: Scaling Rectified Flow Transformers for High-Resolution Image Synthesis ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Demo(Zero A100): ", "raw": "Demo(Zero A100): ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/kadirnar/Stable-Diffusion-3", "href": null, "resource": { "type": "space", "id": "kadirnar/Stable-Diffusion-3", "discussionNum": null }, "url": "https://huggingface.co/spaces/kadirnar/Stable-Diffusion-3", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Paper: ", "raw": "Paper: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://arxiv.org/pdf/2403.03206", "href": "https://arxiv.org/pdf/2403.03206", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Model Page: ", "raw": "Model Page: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/stabilityai/stable-diffusion-3-medium", "href": null, "resource": { "type": "model", "id": "stabilityai/stable-diffusion-3-medium", "discussionNum": null }, "url": "https://huggingface.co/stabilityai/stable-diffusion-3-medium", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Thanks ❤️ ", "raw": "Thanks ❤️ ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@dn6", "href": null, "resource": null, "url": null, "code": null, "user": "dn6", "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@sayakpaul", "href": null, "resource": null, "url": null, "code": null, "user": "sayakpaul", "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "New Appearance from Ollama Open WebUI!", "raw": "New Appearance from Ollama Open WebUI!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "And Also web search, Realtime talking and File RAG!", "raw": "And Also web search, Realtime talking and File RAG!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://chemllm.org/", "href": "https://chemllm.org/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🤗 I trained what is probably the smallest (600k ~) TinyStories model! It really can write grammatically correct stories!", "raw": "🤗 I trained what is probably the smallest (600k ~) TinyStories model! It really can write grammatically correct stories!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/raincandy-u/TinyStories-656K", "href": null, "resource": { "type": "model", "id": "raincandy-u/TinyStories-656K", "discussionNum": null }, "url": "https://huggingface.co/raincandy-u/TinyStories-656K", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Try this space based on this minuscule model!", "raw": "Try this space based on this minuscule model!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/raincandy-u/Story-Teller", "href": null, "resource": { "type": "space", "id": "raincandy-u/Story-Teller", "discussionNum": null }, "url": "https://huggingface.co/spaces/raincandy-u/Story-Teller", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Edit: Moreover, the model weight size is only 1.31MB under bf16, and can be reduced to the 700KB level when using Q8_0 quantization U•ェ•*U", "raw": "Edit: Moreover, the model weight size is only 1.31MB under bf16, and can be reduced to the 700KB level when using Q8_0 quantization U•ェ•*U", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Edit: Now 1000K params chat model!", "raw": "Edit: Now 1000K params chat model!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/raincandy-u/TinyChat-1776K", "href": null, "resource": { "type": "model", "id": "raincandy-u/TinyChat-1776K", "discussionNum": null }, "url": "https://huggingface.co/raincandy-u/TinyChat-1776K", "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Advanced RAG - Hybrid Search using HuggingFace Models", "raw": "Advanced RAG - Hybrid Search using HuggingFace Models", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Chat with PDF in 10 lines of code:", "raw": "Chat with PDF in 10 lines of code:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "code_fence", "value": null, "raw": "```\n# pip install beyondllm\n# pip install llama-index-embeddings-fastembed\n\nfrom beyondllm import source,retrieve,embeddings,llms,generator\nimport os\nfrom getpass import getpass\nos.environ['HUGGINGFACE_ACCESS_TOKEN'] = getpass(\"Enter your HF API token:\")\n\ndata = source.fit(\"sample.pdf\", dtype=\"pdf\")\nembed_model = embeddings.FastEmbedEmbeddings()\n\nretriever = auto_retriever(\n data=data, embed_model=embed_model,\n type=\"hybrid\", top_k=5, mode=\"OR\"\n)\n\nllm = HuggingFaceHubModel(model=\"mistralai/Mistral-7B-Instruct-v0.2\")\npipeline = generator.Generate(question=\"<replace-with-your-query>\",llm=llm,retriever=retriever)\nprint(pipeline.call())\n```", "href": null, "resource": null, "url": null, "code": "# pip install beyondllm\n# pip install llama-index-embeddings-fastembed\n\nfrom beyondllm import source,retrieve,embeddings,llms,generator\nimport os\nfrom getpass import getpass\nos.environ['HUGGINGFACE_ACCESS_TOKEN'] = getpass(\"Enter your HF API token:\")\n\ndata = source.fit(\"sample.pdf\", dtype=\"pdf\")\nembed_model = embeddings.FastEmbedEmbeddings()\n\nretriever = auto_retriever(\n data=data, embed_model=embed_model,\n type=\"hybrid\", top_k=5, mode=\"OR\"\n)\n\nllm = HuggingFaceHubModel(model=\"mistralai/Mistral-7B-Instruct-v0.2\")\npipeline = generator.Generate(question=\"<replace-with-your-query>\",llm=llm,retriever=retriever)\nprint(pipeline.call())", "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Cookbook: ", "raw": "Cookbook: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/aiplanethub/beyondllm/blob/main/cookbook/Implementing_Hybrid_Search.ipynb", "href": "https://github.com/aiplanethub/beyondllm/blob/main/cookbook/Implementing_Hybrid_Search.ipynb", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Support the project by giving a ⭐️ to the repo", "raw": "Support the project by giving a ⭐️ to the repo", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "reaction": "👀", "users": [ "victor", "daltheman", "lucifertrj", "Ramikan-BR", "lunarflu", "ToKrCZ", "catastropiyush" ], "count": 7 }, { "reaction": "😎", "users": [ "METASPORTSFUMEZ" ], "count": 1 }, { "reaction": "🔥", "users": [ "umair894" ], "count": 1 } ]

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[ { "type": "text", "value": "📢Delighted to share personal findings 🔎 East Asian LLM Qwen1.5 🇨🇳 reasoning capabilities 🧠 Target Sentiment Analysis (TSA). Starting with the one of the smallest Qwen1.5-1.8B-Chat version, for the original Eastern-European texts (🇷🇺) and their translated versions (🇺🇸) in zero-shot-learning mode setup, the key takeaways of such experiments were as follows:", "raw": "📢Delighted to share personal findings 🔎 East Asian LLM Qwen1.5 🇨🇳 reasoning capabilities 🧠 Target Sentiment Analysis (TSA). Starting with the one of the smallest Qwen1.5-1.8B-Chat version, for the original Eastern-European texts (🇷🇺) and their translated versions (🇺🇸) in zero-shot-learning mode setup, the key takeaways of such experiments were as follows:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅ 1. Model is capable to perform reasoning in Eastern Eropean languages (🇷🇺) (remember it is 1.8B), switching to Qwen2 results in strong improvement, with results that surpasses LLaMA2-70B-chat (more on difference below). ", "raw": "✅ 1. Model is capable to perform reasoning in Eastern Eropean languages (🇷🇺) (remember it is 1.8B), switching to Qwen2 results in strong improvement, with results that surpasses LLaMA2-70B-chat (more on difference below). ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✅ 2. Despite the size of 1.8B, reasoning in English has a significant gap in underpeforming (F1=~34%) to the most closest Flan-T5-XL (2.8B) which showcases F1=43%.", "raw": "✅ 2. Despite the size of 1.8B, reasoning in English has a significant gap in underpeforming (F1=~34%) to the most closest Flan-T5-XL (2.8B) which showcases F1=43%.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💡 The most intriguing fact that Qwen1.5-1.8B-Chat: ", "raw": "💡 The most intriguing fact that Qwen1.5-1.8B-Chat: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "it generates new words in Russian I've never seen before: \"неретеневая\" (negativitively), and imputes the entries in Chinese. The reason of such a low results, is that model was not been able to follow the input instruction and shares all the opinions per each class. All of that has been improved though in Qwen2-1.5B.", "raw": "it generates new words in Russian I've never seen before: \"неретеневая\" (negativitively), and imputes the entries in Chinese. The reason of such a low results, is that model was not been able to follow the input instruction and shares all the opinions per each class. All of that has been improved though in Qwen2-1.5B.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Benchmark: ", "raw": "Benchmark: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/nicolay-r/RuSentNE-LLM-Benchmark", "href": "https://github.com/nicolay-r/RuSentNE-LLM-Benchmark", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Model: ", "raw": "Model: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat", "href": null, "resource": { "type": "model", "id": "Qwen/Qwen1.5-1.8B-Chat", "discussionNum": null }, "url": "https://huggingface.co/Qwen/Qwen1.5-1.8B-Chat", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Dataset: ", "raw": "Dataset: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/dialogue-evaluation/RuSentNE-evaluation", "href": "https://github.com/dialogue-evaluation/RuSentNE-evaluation", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Related paper: Large Language Models in Targeted Sentiment Analysis (2404.12342)", "raw": "Related paper: Large Language Models in Targeted Sentiment Analysis (2404.12342)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Collection: ", "raw": "Collection: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://huggingface.co/collections/nicolay-r/sentiment-analysis-665ba391e0eba729021ea101", "href": "https://huggingface.co/collections/nicolay-r/sentiment-analysis-665ba391e0eba729021ea101", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "All You Need To Know About Apple Intelligence Architecture And Models!!", "raw": "All You Need To Know About Apple Intelligence Architecture And Models!!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "One key challenge with running llms on device is a balance between compute, performance and model size. Apple Intelligence solves this using small/specialized chunks (Adapters) of the on-device foundation model when needed.", "raw": "One key challenge with running llms on device is a balance between compute, performance and model size. Apple Intelligence solves this using small/specialized chunks (Adapters) of the on-device foundation model when needed.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "For compute, they engineered a new framework that uses LoRA adapters of rank 16, allowing a merged 2-bit and 4-bit config that yields up to 3.5 bits per weight, achieving the same performance as the uncompressed models.", "raw": "For compute, they engineered a new framework that uses LoRA adapters of rank 16, allowing a merged 2-bit and 4-bit config that yields up to 3.5 bits per weight, achieving the same performance as the uncompressed models.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "With the help of an OSS model latency and power analysis tool (Talaria), they were able to optimize the bit rate selection for each operation. This along with activation & embedding quantizations plus efficient key-value caching, achieved up to 30 tokens/sec on iPhone 15 pro.", "raw": "With the help of an OSS model latency and power analysis tool (Talaria), they were able to optimize the bit rate selection for each operation. This along with activation & embedding quantizations plus efficient key-value caching, achieved up to 30 tokens/sec on iPhone 15 pro.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "When the model is prompted (e.g to rewrite an email in the mail app), the app draws from the app intents toolbox which sends the prompt to the adapter specialized for writing, the model responds through the same pipeline with a real-time update of the text to rewrite.", "raw": "When the model is prompted (e.g to rewrite an email in the mail app), the app draws from the app intents toolbox which sends the prompt to the adapter specialized for writing, the model responds through the same pipeline with a real-time update of the text to rewrite.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The coolest feature of these models is their ability to adapt and dynamically specialize on user’s everyday activities. For this they adapt the attention matrices, the attention projection matrix, and the fully connected layers in the point-wise feedforward networks for a suitable set of the decoding layers of the transformer architecture.", "raw": "The coolest feature of these models is their ability to adapt and dynamically specialize on user’s everyday activities. For this they adapt the attention matrices, the attention projection matrix, and the fully connected layers in the point-wise feedforward networks for a suitable set of the decoding layers of the transformer architecture.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "For tasks that require more capable models, the arch utilizes server/larger models on a private cloud compute infrastructure that delivers SOTA secured and verifiable privacy experience.", "raw": "For tasks that require more capable models, the arch utilizes server/larger models on a private cloud compute infrastructure that delivers SOTA secured and verifiable privacy experience.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "More on the private cloud compute: ", "raw": "More on the private cloud compute: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://developer.apple.com/videos/play/wwdc2024/102/", "href": "https://developer.apple.com/videos/play/wwdc2024/102/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Introducing GUICourse! 🎉 ", "raw": "Introducing GUICourse! 🎉 ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "By leveraging extensive OCR pretraining with grounding ability, we unlock the potential of parsing-free methods for GUIAgent. ", "raw": "By leveraging extensive OCR pretraining with grounding ability, we unlock the potential of parsing-free methods for GUIAgent. 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[ { "type": "text", "value": "Congrats to ", "raw": "Congrats to ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@alvdansen", "href": null, "resource": null, "url": null, "code": null, "user": "alvdansen", "label": null, "lang": null }, { "type": "text", "value": " for one of the nicest SD LoRA ever. It's so sharp and beautiful! ", "raw": " for one of the nicest SD LoRA ever. It's so sharp and beautiful! ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check the model page to try it on your own prompts: ", "raw": "Check the model page to try it on your own prompts: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/alvdansen/BandW-Manga", "href": null, "resource": { "type": "model", "id": "alvdansen/BandW-Manga", "discussionNum": null }, "url": "https://huggingface.co/alvdansen/BandW-Manga", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "And follow ", "raw": "And follow ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "mention", "value": null, "raw": "@alvdansen", "href": null, "resource": null, "url": null, "code": null, "user": "alvdansen", "label": null, "lang": null }, { "type": "text", "value": " for more 😙", "raw": " for more 😙", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "😀😲😐😡 New Research Alert - CVPRW 2024 (Facial Expressions Recognition Collection)! 😡😥🥴😱", "raw": "😀😲😐😡 New Research Alert - CVPRW 2024 (Facial Expressions Recognition Collection)! 😡😥🥴😱", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "📄 Title: Zero-Shot Audio-Visual Compound Expression Recognition Method based on Emotion Probability Fusion 🔝", "raw": "📄 Title: Zero-Shot Audio-Visual Compound Expression Recognition Method based on Emotion Probability Fusion 🔝", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": 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[ { "type": "text", "value": "🚀 Excited to announce the release of our new research paper, \"LLAVAGUARD: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment\"!", "raw": "🚀 Excited to announce the release of our new research paper, \"LLAVAGUARD: VLM-based Safeguards for Vision Dataset Curation and Safety Assessment\"!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "In this work, we introduce LLAVAGUARD, a family of cutting-edge Vision-Language Model (VLM) judges designed to enhance the safety and integrity of vision datasets and generative models. Our approach leverages flexible policies for assessing safety in diverse settings. This context awareness ensures robust data curation and model safeguarding alongside comprehensive safety assessments, setting a new standard for vision datasets and models. We provide three versions (7B, 13B, and 34B) and our data, see below. This achievement wouldn't have been possible without the incredible teamwork and dedication of my great colleagues ", "raw": "In this work, we introduce LLAVAGUARD, a family of cutting-edge Vision-Language Model (VLM) judges designed to enhance the safety and integrity of vision datasets and generative models. Our approach leverages flexible policies for assessing safety in diverse settings. This context awareness ensures robust data curation and model safeguarding alongside comprehensive safety assessments, setting a new standard for vision datasets and models. We provide three versions (7B, 13B, and 34B) and our data, see below. 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[ { "type": "text", "value": "Today we are introducing YaFSDP, Yandex’s tool for efficient distributed LLM training. YaFSDP can be used in conjunction with huggingface workflows and is up to 25% faster compared to FSDP.", "raw": "Today we are introducing YaFSDP, Yandex’s tool for efficient distributed LLM training. YaFSDP can be used in conjunction with huggingface workflows and is up to 25% faster compared to FSDP.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Learn more here: ", "raw": "Learn more here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/yandex/YaFSDP", "href": "https://github.com/yandex/YaFSDP", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "I propose a novel approach to training large language models (LLMs), inspired by the layered learning process observed in humans. Instead of training on all data simultaneously, this method would introduce increasingly complex information in stages, prioritizing foundational knowledge and relevance to the modern world. This \"back-to-front\" training approach could potentially improve the efficiency and effectiveness of LLM training. I've outlined the concept in more detail in this Gist:", "raw": "I propose a novel approach to training large language models (LLMs), inspired by the layered learning process observed in humans. Instead of training on all data simultaneously, this method would introduce increasingly complex information in stages, prioritizing foundational knowledge and relevance to the modern world. This \"back-to-front\" training approach could potentially improve the efficiency and effectiveness of LLM training. I've outlined the concept in more detail in this Gist:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " ", "raw": " ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://gist.github.com/SMeyersMrOvkill/14ff37ffb955831897b177fb3d2d540e", "href": "https://gist.github.com/SMeyersMrOvkill/14ff37ffb955831897b177fb3d2d540e", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ".", "raw": ".", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "While the core idea and solutions presented in the Gist are my own, I'd like to acknowledge the valuable assistance I received from a language model in refining the presentation of this concept, making it clearer and more engaging for the community. I'm eager to hear your thoughts and feedback!", "raw": "While the core idea and solutions presented in the Gist are my own, I'd like to acknowledge the valuable assistance I received from a language model in refining the presentation of this concept, making it clearer and more engaging for the community. I'm eager to hear your thoughts and feedback!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Hey Hugging Face Community 🤗", "raw": "Hey Hugging Face Community 🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I'm excited to share my latest project that combines my passion for deep learning and racing cars. I recently created a simple method to predict Formula 1 lap times using machine learning . This is the first solution of its kind in the open-source community, and I'm thrilled to present it to you all.", "raw": "I'm excited to share my latest project that combines my passion for deep learning and racing cars. I recently created a simple method to predict Formula 1 lap times using machine learning . This is the first solution of its kind in the open-source community, and I'm thrilled to present it to you all.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🏎️ The project leverages historical telemetry data to predict lap times, providing a new tool for race strategy and performance analysis. You can check out the notebook on Kaggle here ", "raw": "🏎️ The project leverages historical telemetry data to predict lap times, providing a new tool for race strategy and performance analysis. You can check out the notebook on Kaggle here ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.kaggle.com/code/lucasdraichi/hamilton-lap-time-prediction", "href": "https://www.kaggle.com/code/lucasdraichi/hamilton-lap-time-prediction", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": " and see the detailed breakdown of the model and its predictions.", "raw": " and see the detailed breakdown of the model and its predictions.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "I invite you all to take a look at the lap time predictor, provide feedback, and join the discussion. Your insights and participation would be invaluable as we continue to develop and enhance these tools.", "raw": "I invite you all to take a look at the lap time predictor, provide feedback, and join the discussion. Your insights and participation would be invaluable as we continue to develop and enhance these tools.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Let's push the boundaries of what's possible with AI in motorsports together!", "raw": "Let's push the boundaries of what's possible with AI in motorsports together!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "🤖 Would you like to chat with Groq, Anthropic, OpenAI and Cohere models? Now you can comfortably do it on Hugging Face Spaces!", "raw": "🤖 Would you like to chat with Groq, Anthropic, OpenAI and Cohere models? Now you can comfortably do it on Hugging Face Spaces!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "💬 I'm thrilled to introduce you: ", "raw": "💬 I'm thrilled to introduce you: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/as-cle-bert/chat-with-em", "href": null, "resource": { "type": "space", "id": "as-cle-bert/chat-with-em", "discussionNum": null }, "url": "https://huggingface.co/spaces/as-cle-bert/chat-with-em", "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": ", the Space that lets you build a customizable chat model by specifying system instructions, temperature and maximum number of output tokens", "raw": ", the Space that lets you build a customizable chat model by specifying system instructions, temperature and maximum number of output tokens", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🦜🔗 Thanks to LangChain, you can easily choose and switch among Claude models, Command-R, GPT-3.5, GPT-4o, Llama-3-8B, Llama-3-70B and Mixtral 8x7b: you just need to provide an API key!", "raw": "🦜🔗 Thanks to LangChain, you can easily choose and switch among Claude models, Command-R, GPT-3.5, GPT-4o, Llama-3-8B, Llama-3-70B and Mixtral 8x7b: you just need to provide an API key!", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Enjoy!🤗", "raw": "Enjoy!🤗", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Researchers at Carnegie Mellon University have introduced Sotopia, a platform designed to evaluate and enhance AI’s social capabilities. Sotopia focuses on assessing AI’s performance in goal-oriented social interactions, like collaboration, negotiation, and competition. ", "raw": "Researchers at Carnegie Mellon University have introduced Sotopia, a platform designed to evaluate and enhance AI’s social capabilities. Sotopia focuses on assessing AI’s performance in goal-oriented social interactions, like collaboration, negotiation, and competition. ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔍 Key Findings:", "raw": "🔍 Key Findings:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Performance Evaluation: The platform enables testing and comparison of different AI systems, with a specific emphasis on refining Mistral-7B. 🛠️", "raw": "Performance Evaluation: The platform enables testing and comparison of different AI systems, with a specific emphasis on refining Mistral-7B. 🛠️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Benchmarking: Sotopia uses GPT-4 as a benchmark to evaluate other AI systems’ capabilities. 📏", "raw": "Benchmarking: Sotopia uses GPT-4 as a benchmark to evaluate other AI systems’ capabilities. 📏", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🔧 Technical Points:", "raw": "🔧 Technical Points:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Foundation: Sotopia builds upon Mistral-7B, focusing on behavior cloning and self-reinforcement. 🏗️", "raw": "Foundation: Sotopia builds upon Mistral-7B, focusing on behavior cloning and self-reinforcement. 🏗️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Multi-Dimensional Assessment: Sotopia evaluates AI performance across 7 social dimensions, including believability, adherence to social norms, and successful goal completion. 🌐", "raw": "Multi-Dimensional Assessment: Sotopia evaluates AI performance across 7 social dimensions, including believability, adherence to social norms, and successful goal completion. 🌐", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Data Collection: The platform gathers data from human-human, human-AI, and AI-AI interactions. 📂", "raw": "Data Collection: The platform gathers data from human-human, human-AI, and AI-AI interactions. 📂", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Sotopia Project Page: ", "raw": "Sotopia Project Page: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://www.sotopia.world/", "href": "https://www.sotopia.world/", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check out the HF space here: ", "raw": "Check out the HF space here: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/cmu-lti/sotopia-space", "href": null, "resource": { "type": "space", "id": "cmu-lti/sotopia-space", "discussionNum": null }, "url": "https://huggingface.co/spaces/cmu-lti/sotopia-space", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Additional details are in the HF Collection: ", "raw": "Additional details are in the HF Collection: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/collections/cmu-lti/sotopia-65f312c1bd04a8c4a9225e5b", "href": null, "resource": { "type": "collection", "id": "cmu-lti/sotopia-65f312c1bd04a8c4a9225e5b", "discussionNum": null }, "url": "https://huggingface.co/collections/cmu-lti/sotopia-65f312c1bd04a8c4a9225e5b", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, 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[ { "type": "text", "value": "🦾 Hello, I present Visionix Alpha - a new hyper-realistic model based on SDXL. The main difference from all existing realism models is the attention to detail, that is, I improved not only hyperrealism, but also the overall aesthetics, anatomy, the beauty of nature, and more, and the model also has the most different faces. This model is suitable not only for realistic photos, but also for generating 2.5d anime, realistic cartoons and more.", "raw": "🦾 Hello, I present Visionix Alpha - a new hyper-realistic model based on SDXL. The main difference from all existing realism models is the attention to detail, that is, I improved not only hyperrealism, but also the overall aesthetics, anatomy, the beauty of nature, and more, and the model also has the most different faces. This model is suitable not only for realistic photos, but also for generating 2.5d anime, realistic cartoons and more.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🤗 Model on HF: ", "raw": "🤗 Model on HF: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/ehristoforu/Visionix-alpha", "href": null, "resource": { "type": "model", "id": "ehristoforu/Visionix-alpha", "discussionNum": null }, "url": "https://huggingface.co/ehristoforu/Visionix-alpha", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🥏 Model on CivitAI: ", "raw": "🥏 Model on CivitAI: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://civitai.com/models/505719", "href": "https://civitai.com/models/505719", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🪄 Playground (with base and inpaint model): ", "raw": "🪄 Playground (with base and inpaint model): ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/ehristoforu/Visionix-Playground", "href": null, "resource": { "type": "space", "id": "ehristoforu/Visionix-Playground", "discussionNum": null }, "url": "https://huggingface.co/spaces/ehristoforu/Visionix-Playground", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "✏️ Inpaint version on HF: ", "raw": "✏️ Inpaint version on HF: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/ehristoforu/Visionix-alpha-inpainting", "href": null, "resource": { "type": "model", "id": "ehristoforu/Visionix-alpha-inpainting", "discussionNum": null }, "url": "https://huggingface.co/ehristoforu/Visionix-alpha-inpainting", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "🖋️ Inpaint version on CivitAI: ", "raw": "🖋️ Inpaint version on CivitAI: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://civitai.com/models/505719?modelVersionId=563519", "href": "https://civitai.com/models/505719?modelVersionId=563519", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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[ { "type": "text", "value": "Here is a thought, instead of telling LLMs what to do, show them! 🎭", "raw": "Here is a thought, instead of telling LLMs what to do, show them! 🎭", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Language models are aligned to emulate the collective voice of many, resulting in outputs that align with no one in particular. 🗣️🌍", "raw": "Language models are aligned to emulate the collective voice of many, resulting in outputs that align with no one in particular. 🗣️🌍", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "DITTO from Stanford University proposes that LLMs can be tuned with less than 10 samples! 🤯", "raw": "DITTO from Stanford University proposes that LLMs can be tuned with less than 10 samples! 🤯", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "What's DITTO? Demonstration ITerated Task Optimization (definitely came up with the acronym first! 😂)", "raw": "What's DITTO? Demonstration ITerated Task Optimization (definitely came up with the acronym first! 😂)", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Here is the step-by-step implementation: 🛠️", "raw": "Here is the step-by-step implementation: 🛠️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Initialization: Start with a reference language model (LM), a set of expert demonstrations, a sample size, and a frequency of sampling. 🏁", "raw": "Initialization: Start with a reference language model (LM), a set of expert demonstrations, a sample size, and a frequency of sampling. 🏁", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Supervised Fine-Tuning (SFT): Begin by fine-tuning the reference LM on the set of expert demonstrations to create an initial policy P0. 🎚️", "raw": "Supervised Fine-Tuning (SFT): Begin by fine-tuning the reference LM on the set of expert demonstrations to create an initial policy P0. 🎚️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Iterative Comparison Sampling: For each iteration t:", "raw": "Iterative Comparison Sampling: For each iteration t:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Sample multiple completions from the policy Pt for each demonstration to create a new dataset Dt.", "raw": "Sample multiple completions from the policy Pt for each demonstration to create a new dataset Dt.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Construct a batch of comparisons where the demonstrations are ranked higher than all sampled model outputs from the current and previous iterations. 🔄", "raw": "Construct a batch of comparisons where the demonstrations are ranked higher than all sampled model outputs from the current and previous iterations. 🔄", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Policy Update:", "raw": "Policy Update:", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Update the policy Pt using a Direct Preference Optimization (DPO) algorithm, which incorporates feedback from the batch of comparisons.", "raw": "Update the policy Pt using a Direct Preference Optimization (DPO) algorithm, which incorporates feedback from the batch of comparisons.", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Increment the iteration and repeat the sampling and updating process until convergence. ⏭️", "raw": "Increment the iteration and repeat the sampling and updating process until convergence. ⏭️", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Result: The final policy P after sufficient iterations aligns more closely with the expert demonstrations, effectively tuning the LM to reflect user-specific preferences and behaviors. 🎯", "raw": "Result: The final policy P after sufficient iterations aligns more closely with the expert demonstrations, effectively tuning the LM to reflect user-specific preferences and behaviors. 🎯", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "DITTO outperforms few-shot prompting. 🚀", "raw": "DITTO outperforms few-shot prompting. 🚀", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": 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[ { "type": "text", "value": "Introducing Whisper WebGPU: Blazingly-fast ML-powered speech recognition directly in your browser! 🚀 It supports multilingual transcription and translation across 100 languages! 🤯", "raw": "Introducing Whisper WebGPU: Blazingly-fast ML-powered speech recognition directly in your browser! 🚀 It supports multilingual transcription and translation across 100 languages! 🤯", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "The model runs locally, meaning no data leaves your device! 😍", "raw": "The model runs locally, meaning no data leaves your device! 😍", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "Check it out! 👇", "raw": "Check it out! 👇", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Demo: ", "raw": "- Demo: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "resource", "value": null, "raw": "https://huggingface.co/spaces/Xenova/whisper-webgpu", "href": null, "resource": { "type": "space", "id": "Xenova/whisper-webgpu", "discussionNum": null }, "url": "https://huggingface.co/spaces/Xenova/whisper-webgpu", "code": null, "user": null, "label": null, "lang": null }, { "type": "new_line", "value": null, "raw": "\n", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "text", "value": "- Source code: ", "raw": "- Source code: ", "href": null, "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null }, { "type": "link", "value": null, "raw": "https://github.com/xenova/whisper-web/tree/experimental-webgpu", "href": "https://github.com/xenova/whisper-web/tree/experimental-webgpu", "resource": null, "url": null, "code": null, "user": null, "label": null, "lang": null } ]

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