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New Notebook showcasing how to perform prompt tuning using the PEFT library. #33

Merged
merged 11 commits into from
Feb 26, 2024
2 changes: 2 additions & 0 deletions notebooks/en/_toctree.yml
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title: Advanced RAG on HuggingFace documentation using LangChain
- local: rag_evaluation
title: RAG Evaluation
- local: prompt_tuning_peft
title: Prompt tuning with PEFT
3 changes: 2 additions & 1 deletion notebooks/en/index.md
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Check out the recently added notebooks:

- [Prompt Tuning with PEFT Library](prompt_tuning_peft)
- [Migrating from OpenAI to Open LLMs Using TGI's Messages API](tgi_messages_api_demo)
- [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)
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- [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).
You can also check out the notebooks in the cookbook's [GitHub repo](https://github.com/huggingface/cookbook.ipynb).

## Contributing

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