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A fitting deployment strategy

You have realized that your current model is severely degraded, so you have collected a new batch of training data and trained the new model.

Your model pipeline hasn't changed in any way. You have just re-trained it on new data. Therefore, you are confident it is safe to immediately start serving this new, better-performing model to all your users.

Which deployment strategy makes the most sense in this case?

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MLOps Deployment and Life Cycling

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