DAIR.AI’s Post

LLMQuoter Enhances RAG capabilities using a "quote-first-then-answer" strategy. Adopts Llama-3B and finetunes with LoRA on a 15K sample subset of HotPotQA to enhance RAG by identifying key quotes before passing them to reasoning models. "This workflow reduces cognitive overhead and outperforms full context approaches like Retrieval-Augmented Fine-Tuning (RAFT), achieving over 20-point accuracy gains across both small and large language models." paper: https://lnkd.in/em3B-7mh -- Learn to build RAG systems in my new course: https://lnkd.in/eEiYwhVx