Machine Learning30 min reading time
Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design
InfoQ (AI, ML & Data)
Read the full articleMallika 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.



