Construct · 1 fields · 1 citations

compute-optimal scaling: a standalone construct

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Machine learning

for a fixed compute budget, model size and number of training tokens should grow in roughly equal proportion to minimize loss.

In machine learning, compute-optimal scaling refers to for a fixed compute budget, model size and number of training tokens should grow in roughly equal proportion to minimize loss. This meaning comes from Hoffmann (2022) in arXiv.[1]

Unit
Recovery means
Measured by

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Nearby constructs

learning6 fields · 14 citationsjingle · one name, six constructs loss2 fields · 3 citationsjingle · one word, two constructs model3 fields · 3 citationsjingle · one word, three constructs

References

Hoffmann, J., Borgeaud, S., Mensch, A., Buchatskaya, E., Cai, T., Rutherford, E., Casas, D. d. L., Hendricks, L. A., Welbl, J., Clark, A., Hennigan, T., Noland, E., Millican, K., Driessche, G. v. d., Damoc, B., Guy, A., Osindero, S., Simonyan, K., Elsen, E., Rae, J. W., Vinyals, O., & Sifre, L. (2022). Training Compute-Optimal Large Language Models. arXiv. https://doi.org/10.48550/arxiv.2203.15556

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