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Feature Freshness Budgets for Real-Time ML Inference Under Stream Lag
Online feature stores decouple feature computation from model serving, materializing features from upstream event streams into a low-latency store that inference reads at request time. This decoupling introduces a freshness gap - the interval between an event occurring at the source and its effect b
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