Meta 推出 F3 Lightning：加速广告 ML 特征上线
F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale
Meta 工程博客讲了他们广告排序系统的特征框架 F3 Lightning，单次请求要处理两万多个特征，做推荐系统的可以看看思路。
Meta 的 F3（Facebook Feature Framework）用于编写、编译和服务广告排序模型背后的 ML 特征，单次请求可能涉及 2 万多个特征。F3 曾在 AI @ Scale 2020 上首次介绍，通过把所有特征编译进单一合并图来降低计算开销。F3 Lightning 是其后续演进，目标是让新特征更快进入生产环境。
F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale
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. F3 reduced execution computational costs by compiling all features into a single merged graph, but that [...] Read More... The post F3 Lightning: How Meta Accelerates Ads ML Features to Production at Scale appeared first on Engineering at Meta .
