SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems
中文摘要
SilverTorch 通过统一检索架构重塑推荐系统，实现了高达 23.7 倍的吞吐量提升和更高的计算效率与准确性。
English Summary
SilverTorch introduces a unified retrieval architecture for recommendation systems, achieving 23.7x higher throughput and improved compute efficiency and accuracy.
We’re introducing SilverTorch, a reimagining of recommendation systems that unifies all retrieval components for user generated content under a unified architecture. SilverTorch shows up to 23.7x higher throughput compared to the state-of-the-art approaches. It’s also showing 20.9x more compute cost efficiency compared to a CPU-based solution while also improving accuracy. Our research paper, “SilverTorch: A [...] Read More... The post SilverTorch: Index as Model — A New Retrieval Paradigm for Recommendation Systems appeared first on Engineering at Meta.