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RAFT: Adapting Language Model to Domain Specific RAG

Deep Papers

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Optimizing Performance with Raft Pipeline for Domain-Specific Tasks

The chapter delves into the success of using the raft pipeline for domain-specific tasks, showcasing improved performance on various datasets and surpassing GPT 3.5 with RAG. Prompt engineering is highlighted as crucial for performance optimization, and considerations for when to implement Raft in specific domain tasks are explored. Challenges around dataset curation, fine-tuning models, and the potential applications of RAFT in production settings, particularly in the medical field, are discussed.

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