OCT 23, 2026

From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking

Every day, Meta’s recommendation platforms handle billions of user interactions, generating rich temporal signals that capture individual preferences and...

Distributed Systems Performance Microservices Scaling Laws Recommendation Systems

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GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary

Generative Recommenders (GenRecs) represent a paradigm shift from scoring every ad to reasoning about ad content and user preferences together in order to...

SocialScale

1 min

Engineering3d ago

The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do

Sometimes, giving an AI agent all of the knowledge it needs is the wrong approach. At Meta, we’ve seen notable improvements in efficiency and accuracy by...

SocialScale

1 min

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From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking | EngBrief

Engineering3d ago

Inside Prometheus: Meta’s Journey to a Gigawatt-Scale Supercluster

With the recent release of the Muse family of foundational models, we want to take you inside the infrastructure that has made it all possible. The first phase...

SocialScale

1 min