RAG (Retrieval Augmented Generation) is the most common approach used to get LLMs to answer questions grounded in a particular domain's data. RAG is a very good domain adaptation technic but sometimes doesn't meet quality expectations.
RAFT (Retrieval augmented fine-tuning) is a new hybrid approach to LLM domain adaptation that combines RAG and fine-tuning. In this session, you'll learn how to implement RAFT using Azure AI Studio and its fine tuning capabilities.

Presented by Cedric Vidal, AI Advocate for Startups

** Part of RAGHack, a free global hackathon to develop RAG applications. Join at https://aka.ms/raghack **