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Fine-Tuning LLMs With Retrieval Augmented Generation (RAG), by Cobus Greyling

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This approach is a novel implementation of RAG called RA-DIT (Retrieval Augmented Dual Instruction Tuning) where the RAG dataset (query, context retrieved and response) is used to to fine-tune a LLM…

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