FeeL (Feedback Loop)

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Human Feedback and LLMs

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davidberenstein1957 updated a dataset 16 days ago

feel-fl/open-human-feedback-chat-en

davidberenstein1957 updated a Space 23 days ago

feel-fl/open-human-feedback-chat

borgr authored a paper 26 days ago

SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation

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feel-fl's activity

davidberenstein1957

posted an update 3 days ago

Post

1721

Fine-tuning ModernBERT for text classification using synthetic data generation

From prompt to model in 3 steps.
1 dataset description
20 minutes of generating
60 minutes of fine-tuning on my Macbook Pro

Tutorial: https://nbsanity.com/static/552eb50cbd91bedb4e5b73fddca2664a/fine-tune-modernbert-classifier.html

burtenshaw

posted an update 14 days ago

Post

2609

People are flexing their end of year stats, so I made this app to show hub stats in a tidy design!

Thanks @Ameeeee and @jfcalvo for the feature from Argilla!
burtenshaw/recap

1 reply

davidberenstein1957

posted an update 14 days ago

Post

1329

🐇 Tumble down the AI rabbit hole without any technical knowledge!

Explore AI models on the Hub by a simple and quick search

Demo: davidberenstein1957/transformers-pipeline-playground

davidberenstein1957

updated a dataset 16 days ago

feel-fl/open-human-feedback-chat-en

Updated 16 days ago • 19

davidberenstein1957

posted an update 16 days ago

Post

4152

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

4 replies

davidberenstein1957

updated a Space 23 days ago

Sleeping

🤖

Open Human Feedback

burtenshaw

posted an update 23 days ago

Post

2402

Quick update from week 1 of smol course. The community is taking the driving seat and using the material for their own projects. If you want to do the same, join in!

- we have ongoing translation projects in Korean, Vietnamese, Portuguese, and Spanish
- 3 chapters are ready for students. On topics like, instruction tuning, preference alignment, and parameter efficient fine tuning
- 3 chapters are in progress on evaluation, vision language models, and synthetic data.
- around 780 people have forked the repo to use it for learning, teaching, sharing.

⏭️ Next step is to support people that want to use the course for teaching, content creation, internal knowledge sharing, or anything. If you're into this. Drop an issue or PR

REPO: https://buff.ly/3ZCMKX2
discord channel: https://buff.ly/4f9F8jA

davidberenstein1957

posted an update 23 days ago

Post

2061

Open Preference Dataset for Text-to-Image Generation by the 🤗 Community

Open Image Preferences is an Apache 2.0 licensed dataset for text-to-image generation. This dataset contains 10K text-to-image preference pairs across common image generation categories, while using different model families and varying prompt complexities.

https://huggingface.co/blog/image-preferences