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Master generative AI evaluation with golden sets, constraint pass-rate (CPR), self-consistency checks, and live canaries. Learn to define 'good' with policy JSON, track key metrics like CPR and time-to-valid, and implement robust release gates for faster, safer, and cheaper deployments. Move beyond subjective assessments and embrace data-driven quality assurance for your GenAI systems. Discover practical strategies for identifying and fixing failures, optimizing costs, and ensuring consistent performance.
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