What is the role of a model registry in deployment?

What is the role of a model registry in deployment?

Step 1: Understand that a model registry is like a library for machine learning models.
Step 2: Know that it stores different versions of models, just like books can have different editions.
Step 3: Realize that each model version has metadata, which is information about the model, like who created it and when.
Step 4: Learn that the model registry helps keep track of these versions, making it easier to find and use the right one.
Step 5: Understand that when deploying a model (putting it into use), the registry helps ensure you are using the correct version.
Step 6: Remember that this process makes it easier to update models and track changes over time.

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