- Facebook Feature Framework (F3) is Meta’s framework for authoring, compiling, and serving the machine learning features underlying ads ranking models, where a single request can require more than 20,000 features. We first presented F3 at AI @ Scale 2020.
Official announcementMeta Engineering
F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale
From the official release
- F3 reduced execution computational costs by compiling all features into a single merged graph, but that graph also served as the release unit, so a single failure or invalid definition blocked the entire release pipeline.
- This post introduces F3 Lightning, an infrastructure layer built on top of F3 to resolve this challenge by decoupling feature releases from shared execution, so each feature is compiled, validated, deployed, and rolled back independently.
This is a short excerpt. Read the full announcement on the official source.
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