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Fine tuning of the Retrieval-Augmented Generation (RAG) with a custom knowledge source.

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Finetuning of the Retrieval-Augmented Generation (RAG) with a custom knowledge source.

This code is based on the rep Finetuning RAG (Huggingface Transformers).

Questions and answers pairs are under rag_artificial_qa_finetuning/ and rag_manual_qa_finetuning/ folders.

Run the rag_ft.ipynb Jupyter Notebook.

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Fine tuning of the Retrieval-Augmented Generation (RAG) with a custom knowledge source.

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  • Python 62.7%
  • Jupyter Notebook 36.0%
  • Shell 1.3%