AI Agent Evaluation - Methods and Best Practices for Measuring Agent Performance

Learn comprehensive strategies for evaluating AI agents through this detailed webinar featuring Pratik Bhavsar from Galileo at DAIR.AI Academy. Discover the fundamental components of AI agents and explore eight strategic plays for building robust evaluation systems, including creating high and low-level metrics, selecting experimental infrastructure, optimizing instructions and retrieval processes, and integrating agentic tests into CI/CD pipelines. Master the development of SLMs for real-time monitoring, curation of large-scale evaluation datasets, and improvement of metric accuracy through human feedback integration. Examine the newly launched Agent Leaderboard v2 and its ranking methodology while understanding the critical balance between cost and performance in agent evaluation. Explore evaluation best practices, the triad of tradeoffs in AI agent development, and gain insights into building comprehensive evaluation systems with integrated observability. Access practical guidance on the five steps to evaluation intelligence and understand how to implement effective monitoring and testing frameworks for production AI agent deployments.