Machine Learning30 min reading time

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

InfoQ (AI, ML & Data)
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Mallika Rao discusses the challenges of building adaptive recommendation systems that continuously learn and evolve while meeting real-world constraints like latency, cost, and compliance. She highlights how lessons from recommendation systems are increasingly relevant as AI becomes more adaptive.

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