Walk training-serving skew to its source
Trace a production regression to prompt, data, payload, or monitoring skew before retraining.
The regression Eval score is 91 percent; production canary is 68 percent on the same label taxonomy. The difference points to the pipeline, not just the weights. Skew check Compare what the model learned to what it actually sees Training-serving skew is often a representation bug disguised as a model-quality bug. shortcut collect more examples immediately training and serving speak the same language Do not retrain until training input and serving input are comparable. Payload Step 1 The live prompt has tool metadata that training examples do not include. What do you inspect first? Fix Step 2 The diff shows…
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