What is RAFT? RAG + Fine-Tuning

In simple terms, retrieval-augmented fine-tuning, or RAFT, is an advanced AI technique in which retrieval-augmented generation is joined with fine-tuning to enhance generative responses from a large language model for specific applications in that particular domain. It allows the large language models to provide more accurate, contextually relevant, and robust results, especially for targeted sectors […]

Source: https://www.shaip.com/blog/retrieval-augmented-fine-tuning-raft/

Keywords: finetuning, language, retrievalaugmented, large, raft