continuous training

Automating retraining sounds like a convenience until an auto-retrained model silently ships worse. The gates are the whole point. Here is how to automate retraining without automating a regression into production.

Retrain too often and you burn money and risk regressions; too rarely and the model rots. The strong answer is a layered trigger policy with guardrails, not a single cron job. Here is how to set the cadence.

Production usage can become your best source of training data, or a self-reinforcing trap. The signal is knowing how to capture clean feedback and how to break the loops that quietly corrupt the model.