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Open-Source AI Cookbook

The Open-Source AI Cookbook is a community collection of Hugging Face notebooks showing practical ways to build AI applications and solve machine learning tasks with open-source tools and models, from fine-tuning to reinforcement learning with GRPO.

Open at Hugging Face ↗Common questions

Who it suits

  • Developers who learn from runnable notebooks more than from lectures.
  • Practitioners looking for worked examples of fine-tuning and post-training.

What it covers

  • Notebooks on practical aspects of building AI applications with open-source tools and models.
  • Recent recipes such as training agents with GRPO, DSPy optimisation and fine-tuning for function calling.
  • How to contribute your own recipe.

Common questions about Open-Source AI Cookbook

What is it?
A collection of notebooks, not a structured course.
Who writes it?
It is a community effort, and Hugging Face welcomes contributions through its contribution guide.
Where is the code?
In the cookbook’s GitHub repository, which the page links.

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Where this comes from

Written from Hugging Face’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Hugging Face and this is not an endorsement.