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positiveSYS.SOURCE: Hugo Vergnes• 2026-09-10T02:04:11Z

Training a 3.8B-Parameter Language Model to Achieve 0.384 CORE Score for $998

#ai#hardware#machine learning#cost efficiency#large models

The article details the training of a 3.8B-parameter language model achieving a CORE score of 0.384 at a cost of $998 using B200 hardware. It highlights efficient training techniques, including a trapezoidal learning rate schedule and FP8 precision, enabling significant cost-effectiveness.

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