MLOps

名词 n.

英文释义

名词 n.
  1. A paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. uncountable
    — The goal of MLOps is to minimize the technical friction to get the model from an idea to production in the shortest possible time with high-quality predictive power and with as little risk as possible.

词形变化

ML Ops alternative

词源

Blend of ML (“machine learning”) + DevOps.
0 次浏览 数据来源: Wiktionary