What is Retrieval-Augmented Fine-Tuning (RAFT)?
AI Summary
In this video, Isaac Ke discusses Retrieval-Augmented Fine-Tuning (RAFT), an innovative hybrid approach that combines Retrieval-Augmented Generation (RAG) with fine-tuning techniques to enhance AI training. RAFT is designed to improve domain-specific tasks by reducing AI hallucinations, increasing accuracy, and facilitating enterprise AI scalability through chain-of-thought reasoning. This session is especially beneficial for those interested in AI advancements and operational efficiencies in AI models.