🙅‍♀️ No-code end-to-end example to train your model

1️⃣ Use the Synthetic Data Generator to create your custom dataset

2️⃣ Use AutoTrain to use the generated dataset and train your model

Check it here: huggingface.co/blog/synthet...

Open Image Preferences released! 🚀

- Open-source dataset for text2image
- 10K samples manually evaluated by the HF community.
- Binarized format for SFT, DPO, or ORPO.

It comes with a nice blog post explaining the steps to pre-process and generate the data, along with the results.

This is crazy! Were you right in your predictions?

To end the week on a high note, my furry friend ⭐

Want to improve your model quality? Implement the data annotation stage in your MLOps effortlessly thanks to the enhanced integration of Argilla with ZenML.

✨Use the latest Argilla features
✨Improve human-in-the-loop workflows
✨Manage datasets, track progress, and coordinate your annotation team

🚀 QwQ-32B-Preview is available on the Hub!

> The results are very promising, beating o1-mini.
> However, they also have several limitations you might notice even in the demo (I found endless reasoning trying to find out the number of 'r' in 🍓). So, let's see how they deal with them.

🎨 Help to build an image preference dataset!

> Goal: Release an open-source image dataset, enabling the entire community to benefit from it.

> Requirements: All you need is a Hugging Face account and a willingness to contribute.

More in 🧵

Argilla has reached the 4K stars on GitHub! ✨

Thanks to everyone for the support! We'll continue shipping new updates for you to curate your data easily ✍️ And, for sure, your feedback is more than welcome 🙌

It enhances instruction following and reasoning but also includes rewriting, summarization or function calling. Evaluations have proven it outperforms the recently released Orca-AgenInstruct 1M on several tasks!