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 # Open-Source AI Cookbook
 
-we cooking more
+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: 
+
+- [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".