pipeline issue
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Run shadow training and compare outputs before deployment.Train the new model without serving it and compare predictions against the current model on live traffic. Large unexplained deviations are red flags.
Automate validation checks and require manual approval for major shifts.
Common mistakes:
Blind retraining schedules
No regression testing
Treating retraining as routine
Automation needs safeguards.