Currently contains 16 notebooks in English (and some in Chinese): 1. Using LLM-as-a-judge 🧑⚖️ for an automated and versatile evaluation 2. Create a legal preference dataset 3. Suggestions for Data Annotation with SetFit in Zero-shot Text Classification 4. Implementing semantic cache to improve a RAG system 5. Building A RAG Ebook “Librarian” Using LlamaIndex 6. Stable Diffusion Interpolation 7. Building A RAG System with Gemma, MongoDB and Open Source Models 8. Prompt Tuning with PEFT Library 9. Migrating from OpenAI to Open LLMs Using TGI’s Messages API 10. Automatic Embeddings with TEI through Inference Endpoints 11. Simple RAG for GitHub issues using Hugging Face Zephyr and LangChain 12. Embedding multimodal data for similarity search using 🤗 transformers, 🤗 datasets and FAISS 13. Fine-tuning a Code LLM on Custom Code on a single GPU 14. RAG Evaluation Using Synthetic data and LLM-As-A-Judge 15. Advanced RAG on HuggingFace documentation using LangChain 16. Detecting Issues in a Text Dataset with Cleanlab