Paper Clarifies: Small Scale Tuning is Hard, Large Scale is Adaptable
JJitsev · x · 2026-08-20
JJitsev quotes a paper to clarify that small-scale training is high-dimensional and unforgiving, requiring extensive hyperparameter search, whereas large-scale training is gentler and lower-dimensional, making good hyperparameters easily adaptable with standard techniques.
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