What is the main benefit of using a model registry in deployment?

What is the main benefit of using a model registry in deployment?

Step 1: Understand that a model registry is a tool used to keep track of different versions of machine learning models.
Step 2: Recognize that each version of a model can have important information, called metadata, that describes how it was created and its performance.
Step 3: Realize that using a model registry allows you to easily find and use the right version of a model when deploying it.
Step 4: Acknowledge that this helps in tracking changes over time, ensuring that you know which model is currently in use and how it behaves.
Step 5: Conclude that better tracking and governance of models leads to improved reliability and accountability in deployments.

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