This talk addresses key challenges in evaluating LLM-powered AI agents: behavioral instability, comprehensive testing, and cascading failures. We'll explore advanced techniques including multi-dimensional metrics and automated scenario generation.
Gain insights gleaned from hundreds of AI engineering teams in production into implementing agent-specific observability systems and designing robust evaluation pipelines that can handle the complexities of modern AI agents, from detecting subtle regressions to quantifying performance across diverse, dynamically generated test cases.
Ray Summit 2024
In-Person Agenda
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Come connect with the global community of thinkers and disruptors who are building and deploying the next generation of AI and ML applications.
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