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Machine Learning at Reasonable Scale // Jacopo Tagliabue // MLOps Coffee Sessions #66
MLOps.community
Building a Good Transformation Pipeline
A good example for us is the odic academics and people that work with us and write paper with us. They don't really, they never have to work with the actual data. So there's still some good separation of concern you can enforce by building a good transformation pipe lane. If you want to train a transformer model in our wita witoua rippfor recommendations, you'll find out you can train it without ever dutistobute computering - its going to work like a cha. And fourth one, which, again, we touched already, was privilege, vative vertical scaling, torizontal scaling when you can,. as in good aggregation good ata waros
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