Instruction: Outline a strategy for automatically retraining and deploying ML models based on specified performance metrics or triggers.
Context: This question evaluates the candidate's expertise in automating the lifecycle of machine learning models, ensuring they remain effective without manual intervention.
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I would build the framework as a gated pipeline: trigger detection, data snapshotting, training, evaluation, artifact registration, staged deployment, and post-deploy monitoring. Each stage should produce enough metadata that the model can be traced and rolled back if...
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