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MACHINE-LEARNING-LITERACY5 MIN READ

Spot the Training-Serving Mismatch at the Dispatch Desk

Detect training-serving mismatch by checking feature timing, stale inputs, and inference latency in the real workflow.

busy logistics dispatch office with route planners, a wall map, tablet on counter, driver keys, weather monitor, and delivery receipts, clean industrial workspace with open space for overlay, no text, words, letters, numerals, logos. A dispatch team needs ETA promises before routes start. The prototype used a post-departure delay field, the live weather feed is stale, and the tablet prototype responds too slowly for counter staff. The offline test passed; the morning shift is waiting. Which parts of this scene threaten inference quality? Feature known only after route start Correct. A feature that appears after the decision can inflate training…

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