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Learn to implement rigorous evaluation frameworks for AI-powered products in this comprehensive conference talk designed for product managers navigating the GenAI landscape. Move beyond subjective "vibe checks" to establish concrete, repeatable evaluation strategies that ensure your LLM-powered features deliver consistent quality and user satisfaction. Explore essential evaluation methodologies including human feedback systems, code-based validation checks, and advanced LLM-based evaluation techniques through real-world case studies and practical examples. Discover how to confidently assess AI-driven features, make data-grounded product decisions, and build user trust through systematic quality assurance processes that scale with your product development cycle.
