Cedric Vidal

As AI agents transition from experimental assistants to critical components of enterprise workflows, reliably evaluating their performance becomes essential. But how do you systematically measure an AI agent’s capabilities, contextual understanding, and accuracy across diverse scenarios?

Building generative AI applications for production requires a paradigm shift to LLM Ops, with new tools, platforms and processes for orchestrating end-to-end development workflows. In this session, you’ll learn to build, evaluate and deploy an enterprise copilot application end-to-end, using a code-first approach with Azure AI Studio and Prompt flow.

Explore GPT-4, multi-modality, and demos integrating sight and language with Dall-E and Whisper. Learn about developer tools, AI assistants, scalable applications, and customization. Focus on responsible AI, data privacy, and security with Azure. Featuring interactive demos and stories, this session is perfect for developers and innovators.