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Video: You're working on an ML model within a Vertex AI gcp video

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You're working on an ML model within a Vertex AI Workbench notebook and aim to track artifacts and compare models during experimentation while efficiently transitioning successful experiments to production as you iterate on your model implementation. What should you do?