33How do you build a pipeline that retrains, validates, and promotes a model automatically (continuous training)?▼hardGoogleDatabricksUber1 replies◆ premiumAutomated retraining seems like a convenience right up until an auto-retrained model quietly ships worse. The gates are the entire point. Here is how to automate retraining without automating a regression straight into production.Open full answer →
49How do you design the triggers and cadence for retraining a fleet of production models?▼hardNetflixUberDatabricks1 replies◆ premiumRetrain 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 one cron job. Here is how to set the cadence.Open full answer →
54How do you build a data flywheel from production feedback, and what makes feedback loops go wrong?▼mediumOpenAIMetaNetflix1 replies◆ premiumProduction usage can become your best source of training data, or a self-reinforcing trap. What matters is knowing how to capture clean feedback and how to break the loops that quietly corrupt the model.Open full answer →
