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Hey everyone! I wanted to share with you an open-source tool we've been building over here in Munich called ZenML. ZenML is an extensible, open-source MLOps framework to create production-ready machine learning pipelines. It has a simple, flexible syntax, is cloud and tooling agnostic, and has interfaces/abstractions that are catered towards ML workflows. I think the Metaflow project has similar goals, but there are differences in approach, not just in constructing the pipelines but also the abstraction layers provided for the underlying infrastructure. Could you feedback us on the vision?
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