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.