How are production ML systems typically handling distribution shift over time? [D]

In three linesDiscussion on handling distribution shift in production ML systems. Covered approaches include continuous retraining (fixed intervals or trigger-based), online drift monitoring, shadow models, and human-in-the-loop review. Author notes operational constraints typically dominate technical decisions.

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