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Adaptive Recommenders in the Real World: Inference, Evals, and System Design

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Mallika Rao shares why building adaptive recommendation systems requires shifting focus from isolated ML models to real-time feedback loops, retrieval freshness, and production-level constraints.

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Adaptive Recommenders in the Real World: Inference, Evals, and System Design
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