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Ben Tezcan @ Microsoft , Ben Tezcan @ AT&T , Mark Austin @ AT&T , Mark Austin @ AT&T

What does RAG at scale look like? When building your own copilot, how do you know your application is delivering the responses as designed? Join our session with AT&T, where Mark will share how they built a RAG knowledge management platform on Azure AI Search, powering hundreds of GenAI applications across the organization. We will show how RAG quality is measured, and the variety of use cases built on top of this RAG platform. See what RAG at scale truly looks like in production.

๐—ฆ๐—ฝ๐—ฒ๐—ฎ๐—ธ๐—ฒ๐—ฟ๐˜€: * Mark Austin * Ben Tezcan

๐—ฆ๐—ฒ๐˜€๐˜€๐—ถ๐—ผ๐—ป ๐—œ๐—ป๐—ณ๐—ผ๐—ฟ๐—บ๐—ฎ๐˜๐—ถ๐—ผ๐—ป: This is one of many sessions from the Microsoft Ignite 2024 event. View even more sessions on-demand and learn about Microsoft Ignite at https://ignite.microsoft.com

BRK104 | English (US) | AI

MSIgnite

AI/ML Azure GenAI Microsoft RAG
Microsoft Ignite 2023
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