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GitOps is a DevOps paradigm that helps teams ship software more quickly by applying things like version control, collaboration, compliance, and CI/CD. In ML, GitOps is still at the trial stage and isn’t adopted at scale yet. This post sums up some of the ideas around GitOps and ML that we’ve been working on with dstack. You may find this post relevant if you’re curious about productizing ML models and the dev tooling around it. GitOps and ML workflows Fixing terminology is a good starting poi
