Okay, I think I've got this. Vertex AI Pipelines would let me orchestrate the model training and deployment across projects, Vertex AI Experiments would track the performance metrics, and Vertex AI Metadata would help me compare the different model versions. That sounds like the way to go.
Hmm, the wording is a bit confusing. I'll need to carefully read through the options and think through the risk scenario to determine the expected value.
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