RAFT (RAG + Fine-tuning) in Azure AI Studio
Автор: Microsoft Reactor
Загружено: 2024-09-11
Просмотров: 2522
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 **
📌 Check out the RAGHack 2024 series here! https://aka.ms/RAGHack2024
#MicrosoftReactor #RAGHack
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