Measuring AI: How to Evaluate and Monitor Generative Models

How do we measure quality, safety, and reliability in generative AI? In this episode, we break down Evaluation and Monitoring Metrics for Generative AI, a detailed framework that helps developers ensure their AI models produce safe, accurate, and aligned content. From risk and safety assessments to custom evaluators, synthetic data, and A/B testing, we explore the best practices for monitoring AI systems using the Azure AI Foundry. If you're building or deploying AI, this episode is a must-listen to understand how to evaluate AI effectively.