Customizing generative AI models may be easier than building an AI/ML model from scratch, but operationalizing generative AI models brings many of the same challenges and introduces a new set. This session takes a look at how to adapt ML Ops to the generative AI era with tuning pipelines, model management, evaluation, safety filters and more.
Speakers: Mikhail Chrestkha, Irina Sigler, Ori Goshen
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All sessions from Google Cloud Next → goo.gle/next23
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