RAFT: Adapting Language Model to Domain Specific RAG
Introduction
Large Language Models (LLMs) have transformed many natural language processing tasks, showing impressive abilities in general knowledge reasoning. However, adapting these models to specialized areas like legal documents, medical records, or specific company data is still challenging.
This paper aims to enhance the performance of LLMs in domain-specific question-answering