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Griffin, ML Platform at Instacart // Sahil Khanna // MLOps Podcast #145
MLOps.community
Is It Possible to Support a Data Scientist to Maintain a Production MLE Application?
Jupiter is building for data scientists who live in the Jupiter notebook world and so you're building for that set of workflows. We have reached a scale where we can cater to machine learning engineers, which were our direct juices before. Now, in order to grow a scale and mail at a stack art, we want to provide data scientists direct user interface,. They can use and then go and deploy their own machine learning models.
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