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RAFT: Adapting Language Model to Domain Specific RAG

Deep Papers

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Training Language Model with RAFT Methodology

Exploring the fine-tuning process of a language model in a specific domain using RAFT, involving distractor and golden documents. Details on the components of the training dataset like prompts, golden and distractor documents, and correct responses to enhance the model's ability to identify relevant information.

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