Product Experimentation with Doubly Robust Estimation: When Both Your Models Are Wrong in LLM Applications

Product Experimentation with Doubly Robust Estimation: When Both Your Models Are Wrong in LLM Applications

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内容提要

Your AI product shipped an agent-mode opt-in six months ago. You ran a propensity analysis, adjusted for engagement tier and query confidence, and reported a clean +8 percentage-point lift in task com

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