Researcher: All model and optimizer hyperparameters are functions of width and tokens
dlwh · x · 2026-09-04
AI researcher dlwh notes in a reply that all hyperparameters of the model and optimizer are functions of model width and the number of training tokens — implying scaling rules can prescribe hyperparameters rather than hand-tuning each. The post is a short conversational snippet without further detail.
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