Meta’s agentic approach to ad ranking experimentation

Last week, Meta published a blog post detailing the mechanics of its Ranking Engineer Agent (REA), which autonomously proposes hypotheses to test in tuning its ad ranking models. From the post (emphasis mine): REA is built around a core insight: Complex ML optimization isn’t a single task. It is a multistage process that unfolds over […]

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