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Explore advanced evaluation techniques for LLM-powered AI agents in this Ray Summit 2024 conference talk. Delve into key challenges faced by AI engineering teams, including behavioral instability, comprehensive testing, and cascading failures. Learn about multi-dimensional metrics and automated scenario generation for robust agent evaluation. Gain insights from real-world production environments on implementing agent-specific observability systems. Discover strategies for designing evaluation pipelines that can detect subtle regressions and quantify performance across dynamically generated test cases. Acquire valuable guidance for developing and deploying sophisticated AI agents in practical applications, drawing from the experiences of hundreds of AI engineering teams.