---
title: "Open Source Cookbook"
---

This is a Quarto implementation of [the Open-Source AI Cookbook](https://github.com/huggingface/cookbook), 
which is a collection of notebooks illustrating practical aspects of building AI 
applications and solving various machine learning tasks using open-source tools and models.

## About Quarto
[Quarto](https://quarto.org/) is a Markdown-based documentation system which lets you write documents in Markdown or Jupyter Notebooks, and render them to a variety of formats including HTML, PDF, Powerpoint, and more. 
You can also use Quarto to write [books](https://quarto.org/docs/books/), create [dashboards](https://quarto.org/docs/dashboards/), and embed web applications with [Observable](https://quarto.org/docs/interactive/ojs/) and [Shinylive](https://quarto.org/docs/blog/posts/2022-10-25-shinylive-extension/).


## Latest notebooks

Check out the recently added notebooks: 

- [Automatic Embeddings with TEI through Inference Endpoints](automatic_embedding_tei_inference_endpoints)
- [Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain](rag_zephyr_langchain)
- [Embedding multimodal data for similarity search using 🤗 transformers, 🤗 datasets and FAISS](faiss_with_hf_datasets_and_clip)
- [Fine-tuning a Code LLM on Custom Code on a single GPU](fine_tuning_code_llm_on_single_gpu)
- [RAG Evaluation Using Synthetic data and LLM-As-A-Judge](rag_evaluation)
- [Advanced RAG on HuggingFace documentation using LangChain](advanced_rag)

You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook).

## Contributing

The Open-Source AI Cookbook is a community effort, and we welcome contributions from everyone! 
Check out the cookbook's [Contribution guide](https://github.com/huggingface/cookbook/blob/main/README.md) to learn 
how you can add your "recipe". 