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KiranC

kirankc
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reacted to davidberenstein1957's post with 🔥 6 days ago
Introducing the Synthetic Data Generator, a user-friendly application that takes a no-code approach to creating custom datasets with Large Language Models (LLMs). The best part: A simple step-by-step process, making dataset creation a non-technical breeze, allowing anyone to create datasets and models in minutes and without any code. Blog: https://huggingface.co/blog/synthetic-data-generator Space: https://huggingface.co/spaces/argilla/synthetic-data-generator
liked a dataset 6 days ago
gretelai/synthetic_text_to_sql
updated a model 8 days ago
securin/Securin-LLM-V2.5-Qwen-1.5B
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reacted to davidberenstein1957's post with 🔥 6 days ago
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Introducing the Synthetic Data Generator, a user-friendly application that takes a no-code approach to creating custom datasets with Large Language Models (LLMs). The best part: A simple step-by-step process, making dataset creation a non-technical breeze, allowing anyone to create datasets and models in minutes and without any code.

Blog: https://huggingface.co/blog/synthetic-data-generator
Space: argilla/synthetic-data-generator
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liked a dataset 6 days ago
updated 2 models 8 days ago
liked 6 datasets 14 days ago
liked a dataset 15 days ago
reacted to burtenshaw's post with 🔥❤️ 15 days ago
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For anyone looking to boost their LLM fine-tuning and alignment skills this decemeber. We're running this free and open course called smol course. It’s not big like Li Yin and @mlabonne , it’s just smol.

👷 It focuses on practical use cases, so if you’re working on something, bring it along.

👯‍♀️ It’s peer reviewed and open so you can discuss and get feedback.

🤘 If you’re already a smol pro, feel free to drop a star or issue.

> > Part 1 starts now, and it’s on instruction tuning!

https://github.com/huggingface/smol-course
liked 2 datasets 18 days ago