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.

Latest notebooks

Check out the recently added notebooks:

• Signature-Aware Model Serving from MLflow with Ray Serve
• Fine-tuning SmolVLM using direct preference optimization (DPO) with TRL on a consumer GPU
• Smol Multimodal RAG: Building with ColSmolVLM and SmolVLM on Colab’s Free-Tier GPU
• Fine-tuning SmolVLM with TRL on a consumer GPU
• Multimodal RAG with ColQwen2, Reranker, and Quantized VLMs on Consumer GPUs

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

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