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[Bonus Episode] Practical AI x MLOps // Demetrios Brinkmann, Mihail Eric, Daniel Whitenack and Chris Benson
MLOps.community
The Differences Between Dev Ops and ML Ops
ML ops is a very interdisciplinary disciplinary field and so maybe one of the easiest visuals that we like to sort of discuss when we try and explain what ML ops is is like imagine Like a three-circles venn diagram. There's modeling right there's the fundamental you're building models your training systems You have these data concerns that really falls out of the data science category. And then DevOps is really about how do you streamline that process of going? The way people use it does touch on Pretty much every singleone of those three circles.
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