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MLOps at the Age of Generative AI // Barak Turovsky // #169

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The Importance of Data Engineers in Machine Learning

Data engineers are going to be even more important if they weren't already an integral piece of the whole MMS or machine learning life cycle. And it's not I mean I don't know the answer to it like the first three months it was like you know open AI is eating the world and everybody would try it but as I said they would try. But then when people go to scale they just realize a it's expensive and there is issues with privacy and security and proprietary and you name it. So that's one angle that I think it's relatively highly dependent on how these models will be used by companies. Some companies will use custom models some companies will use proprietary big models because those models

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