Meta 详解 GEM：面向广告推荐的大规模生成式基础模型
Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI
Meta 公开了他们广告推荐系统的底层设计，把 LLM 的思路搬进了 RecSys，做广告投放或推荐系统的可以看看。
Meta 在工程博客中介绍了 Generative Ads Model (GEM)，这是业内规模最大的广告推荐系统（RecSys）基础模型。GEM 于去年推出，是 Meta 首个借鉴 LLM 思路的广告推荐范式，已带来明显性能提升。下一步计划是用新一代硬件继续扩展算力与智能迁移，并把该能力推广到 Meta 整个广告体系。
Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI
Last year, we introduced GEM, the industry’s largest recommendation system (RecSys) foundation model. GEM established Meta’s first LLM-inspired paradigm for ads recommendation, driving major performance gains. Building on this foundation, our next goal is to further scale both compute and intelligence transfer with next-generation hardware, and expand this capability across Meta’s entire ads ecosystem. This [...] Read More... The post Meta’s Generative Ads Model (GEM): Scaling the Central Model and Compute Engine for Frontier Ads AI appeared first on Engineering at Meta .
