How to use Enterprise Data in your AI Apps with RAG, Fine Tuning, and Agents

​AI is all the rage, but making an AI app for your customers, that can really understand their data and their users is no joke. When people talk about "summarize my relationship with customer X" or "explain the key trends in my revenue" or "make changes in my code" — how does this actually happen? Retrieval Augmented Generation (RAG), Fine Tuning, and Agent Frameworks are the most trusted approach of how to do this — come learn how you can use these techniques to make your AI apps work.

​Schedule:

​6-7pm - Presentation and Discussion

​7-8pm - Networking

​Refreshments will be served.

​This conversation will be led by Amar Goel, CEO of Bito. Amar previously started and took PubMatic public. PubMatic has over 900 employees, and does $250M+ in revenue.

​Bito is an AI system used by over 100,000 developers that really understands a developer's code, and is making GenAI come to life for developers in their everyday life and workflows, whether it's writing code, explaining code, documenting code, generating test cases, or debugging.