Intelligent Delivery, an ML-driven resource allocation system for ads ranking, has delivered ~10% incremental ranking performance on top of model and system advancements since 2017. The system predicts the marginal utility of compute using deep learning models, including a Resource Core Model with 6B sparse parameters, and employs multi-layered allocation mechanisms across the serving stack. Developers report a 20% improvement in offline benchmarks for identifying high-impact requests, and increasingly leverage agentic AI to detect system shifts.
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