Microsoft Reactor New York

About this session:
Join me if you want to learn how to build a Production-Scale Conversational AI Assistant with RAG using Microsoft Azure from scratch.
In this session, I’ll cover everything from setting up the necessary configurations to navigating the challenges you’ll encounter along the way and how to implement a secure and scalable solution.
You’ll also see a real-world implementation at Givaudan with Alfred, our internal secure ChatGPT solution.

Who is it aimed at?
This session is aimed at tech leaders exploring enterprise AI solutions, AI and cloud architects working with Azure, product managers shaping AI assistant experiences, and developers building AI-powered applications. Whether you're looking to implement AI at scale or enhance your current solutions, this session provides valuable insights and practical knowledge.

Why should I attend?
Join this session to see real-world AI innovation in action! Learn how we built a secure, in-house ChatGPT from scratch using Microsoft Azure, and gain practical knowledge for developing your own AI assistant. Explore our production deployment experience and get inspired to transform ideas into enterprise-grade solutions.

Learn more and develop your skills with RAG with these ressources:
https://aka.ms/Apr7AIFoundryConceptsRAG3
https://aka.ms/Apr7AzureAIServicesOpenAI3
https://github.com/Azure/GPT-RAG
https://github.com/Azure-Samples

In this episode, we’ll dive into the word of fine-tuning for AI model customization. We’ll discuss how it works, when to use it, and tradeoffs to know when choosing this option. And we’ll look at core tools and workflows for performant fine-tuning.

• https://aka.ms/model-mondays - Explore All Resources
• https://aka.ms/model-mondays/chat - Continue The Conversation
• https://aka.ms/model-mondays/collection - Explore The Model Cards
• https://aka.ms/model-mondays/newsletter - Get The Weekly Recaps