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#loss-curve

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01 ·Training & Alignment·FREE·PAPER·11 min read Diagnosing Broken Training — Telling Divergence, NaN, and Plateaus Apart Training breaks in exactly three ways: it diverges, it goes NaN, or it stalls. Built around a symptom-to-cause table, this article shows why divergence is a threshold effect (with the math and an interactive figure), how to pin down where a NaN was born, and how to isolate the cause of a plateau — assuming no prior knowledge.