AI Leadership Insights: RAG And Fine-Tuning
Techstrong.ai, Wednesday, June 12th, 2024
In this episode of the AI Leadership Insights video series, Mike Vizard speaks with Matthieu Jonglez, VP of technology for application and data platforms at Progress, about the difference between retrieval-augmented generation and fine-tuning.
Mike Vizard: Hello and welcome to the latest edition of the Techstrong AI Leadership video series. I'm your host Mike Vizard. Today we're with Matthieu Jonglez, who is vice president of technology for application and data platforms at Progress. And we're talking about the difference between retrieval-augmented generation, known as RAG and fine-tuning. Matthieu, welcome to the show.
Matthieu Jonglez: Thank you.
Mike Vizard: Walk me through this a little bit. People can fine-tune an existing large-language model, or they can take their data and use some sort of vector database or some other technique and customize it that way. What's the difference between those approaches and when might I use one for what?