Why Most AI Performance Metrics Break Down in Production
This blog post was originally published at ModelCat’s website. It is reprinted here with the permission of ModelCat. Artificial intelligence systems often appear highly effective during development. Models achieve strong benchmark scores, validation metrics improve over time, and performance looks predictable within controlled environments. But once those same systems are deployed into real-world conditions, results frequently […]
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