Embedding Feature Store

機械支援の翻訳下書き (Japanese) for "Embedding Feature Store": Embedding Feature Store is a ml service that serves consistent features to training and inference for vector representation of content or entities. It uses versioned feature definitions, freshness checks, and access policies so teams can avoid training-serving skew while keeping evidence, reliability, and public-safe operational boundaries clear.

“例文の下書き: The machine learning team used Embedding Feature Store when the embedding index changed, so the team could avoid training-serving skew before the model moved into evaluation.”