Meta’s approach to machine learning prediction robustness

Meta’s advertising business leverages large-scale machine learning (ML) recommendation models that power millions of ads recommendations per second across Meta’s family of apps. Maintaining reliability of these ML systems helps ensure the highest level of service and uninterrupted benefit delivery to our users and advertisers. To minimize disruptions and ensure our ML systems are intrinsically [...]


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The post Meta’s approach to machine learning prediction robustness appeared first on Engineering at Meta.


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