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"An empirical analysis of compute-optimal large language model training."

Jordan Hoffmann et al. (2022)

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DOI: —

access: open

type: Conference or Workshop Paper

metadata version: 2024-01-08

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  - electronic edition @ nips.cc (open access)
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  dblp key:
  - conf/nips/HoffmannBMBCRCH22
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  persistent URL:
  - https://dblp.org/rec/conf/nips/HoffmannBMBCRCH22
Jordan Hoffmann, Sebastian Borgeaud, Arthur Mensch, Elena Buchatskaya, Trevor Cai, Eliza Rutherford, Diego de Las Casas, Lisa Anne Hendricks, Johannes Welbl, Aidan Clark, Tom Hennigan, Eric Noland, Katherine Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Oriol Vinyals, Jack W. Rae, Laurent Sifre:
An empirical analysis of compute-optimal large language model training. NeurIPS 2022

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