【RecML：谷歌推出的强大推荐系统库，基于Keras，专为JAX和TPUs优化。亮点：1. 原生支持SparseCore硬件，高效处理大规模分布式嵌入；2. 提供多种前沿推荐模型（如SASRec、BERT4Rec）的生产级实现；3. 简化开发流程，让构建复杂推荐系统变得轻松】
'Google quietly released a powerful recommender systems library optimized for JAX and TPUs, based on Keras. It's called RecML. It has native support for SparseCore (latest hardware for handling large distributed embeddings)'
GitHub: github.com/AI-Hypercomputer/RecML
推荐系统 JAX优化 高性能计算 AI创造营
