Episode

Intelligent Apps with Azure AI

with Nitya Narasimhan

Ask the Expert

Want to build an enterprise AI application with your data, and run it in production? Join us as we build Contoso Chat, an AI-based support agent that implements Retrieval Augmented Generation (RAG) to ground the copilot responses in your product data. Streamline your development workflow with PromptFlow, and manage your Azure AI platform interactions with the Azure AI Studio, SDK and CLI. Learn about Responsible AI practices, and learn how to evaluate your application, and calibrate it for content safety, using built-in capabilities of the Azure AI platform.

Chapters

  • 00:00 - Intro
  • 02:31 - Contoso demo
  • 04:30 - What is PromptFlow?
  • 06:42 - Can we build Azure AI into mobile apps?
  • 08:15 - Where can I go to learn the fundamentals?
  • 09:02 - AI Studio Collection, Generative AI for Beginners, Cloud Skill Challenge
  • 10:28 - Where to find RAG Web App samples
  • 13:06 - Is it possible to implement the code that I create in AI Studio as a gist into a WordPress page?
  • 15:35 - Can we use any available LLM on Azure AI, like Mistral, Llama, Command R+?
  • 19:40 - Do we have a sample repo?
  • 22:00 - How do I write a function document upload and storage within a chat interface/app, enabling users to upload and analyze documents?
  • 24:20 - Best practices for loading samples, running/training AI models?
  • 26:17 - Any recommendations for automating monitoring of the Azure services in a single place, using chatbot or any other Azure AI services?

Azure
Azure OpenAI Service