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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:

- Code Search with Vector Embeddings and Qdrant
- Fine-tuning a Vision Transformer Model With a Custom Biomedical Dataset
- Using LLM-as-a-judge 🧑‍⚖️ for an automated and versatile evaluation
- Create a legal preference dataset
- Suggestions for Data Annotation with SetFit in Zero-shot Text Classification
- Building RAG with Custom Unstructured Data
- Fine-tuning LLM to Generate Persian Product Catalogs in JSON Format
- Information Extraction with Haystack and NuExtract

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