#
Open-Source AI Cookbook

The Open-Source AI Cookbook is a collection of notebooks illustrating practical aspects of building AI applications and solving various machine learning tasks using open-source tools and models.

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Latest notebooks

Check out the recently added notebooks:

- Vector Search on Hugging Face with the Hub as Backend
- Multi-Agent Order Management System with MongoDB
- Scaling Test-Time Compute for Longer Thinking in LLMs
- Signature-Aware Model Serving from MLflow with Ray Serve
- Fine-tuning SmolVLM using direct preference optimization (DPO) with TRL on a consumer GPU

You can also check out the notebooks in the cookbook’s GitHub repo.

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Contributing

The Open-Source AI Cookbook is a community effort, and we welcome contributions from everyone! Check out the cookbook’s Contribution guide to learn how you can add your “recipe”.

< > Update on GitHub