Records found and checked by machines, not reviewed by an editor · What this means →

Document · Research paper (work)

Training Compute-Optimal Large Language Models

Work-level identity. Evidence is scoped to the inspected arXiv v1 expression; a citation to this work does not identify which revision the citing author read.

Issued by
Authors credited
No authorship claim recorded yet. The source record lists 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, Katie Millican, George van den Driessche, Bogdan Damoc, Aurelia Guy, Simon Osindero, Karen Simonyan, Erich Elsen, Jack W. Rae, Oriol Vinyals and Laurent Sifre.
Dates
  • Dated event (basis not stated) 2022-04-12
Exact source

Appears in

No collection holds a record about this document yet.

Versions

No other versions of this document are recorded. The evidence applies to the source version listed above. Other versions, such as a preprint, working paper or journal publication, are not identified or substituted.

Issue and authorship records

  • DeepMind: institution →

Documentary relations

Each relation is listed separately. Citing, crediting and reporting the use of a method are different acts, and none of them shows agreement or influence by itself.

Cites · 1

Explicit references in this document. Citation is neither agreement nor influence.

  • Scaling Laws for Neural Language Models: document page →

Cited by · 1

Recorded documents that explicitly reference this one. A citation to a work does not identify which version was read.

  • LLaMA (2023 paper): document page →

Not recorded for this document: explicitly credits · reports using a method from · method reported as used by · applies parts of · parts applied by · discusses · reports evaluation of. A missing record does not show that the relation does not exist.