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RAFT: Adapting Language Model to Domain Specific RAG

Deep Papers

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Fine Tuning Language Models

The chapter explores the process of fine tuning large language models to enhance performance for specific tasks by incorporating additional data or customizations. It discusses the benefits, challenges, and computational needs associated with fine tuning compared to using models out of the box.

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