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Equation 14 · Part 1 · Dense, Sparse, and Distilled: Comparing Approaches to Frontier Model Capacity

Symbol N_a

NaN_a
NaN_a

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NaN_a is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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The economics are attractive and frequently overstated. Training compute scales with NaN_a , not N , so a sparse model can hold far more knowledge for the same training FLOPs. Patterson and colleagues, computing energy and carbon for several large models including Switch Transformer and GPT-3, found that large but sparsely activated networks can consume less than one tenth the energy of large dense networks without sacrificing accuracy [ 10 ] .

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