Build Evals That Actually Matter - Nick Ung, Lyft

Nick Ung of Lyft shares a framework for building offline evals that predict real-world agent performance. The talk highlights the risk of using generic synthetic test sets and offers practical patterns for aligning evals with actual user behavior.

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