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

J. Hoffmann, S. Borgeaud, A. Mensch, E. Buchatskaya, T. Cai, E. Rutherford, D. de Las Casas, L. Hendricks, J. Welbl, A. Clark, T. Hennigan, E. Noland, K. Millican, G. van den Driessche, B. Damoc, A. Guy, S. Osindero, K. Simonyan, E. Elsen, O. Vinyals, J. Rae, and L. Sifre. NeurIPS, (2022)

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Trevor Hansen

Trevor Jones

Trevor Collins

Trevor Hogan

Trevor Bekolay

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Unified Scaling Laws for Routed Language Models.A. Clark, D. de Las Casas, A. Guy, A. Mensch, M. Paganini, J. Hoffmann, B. Damoc, B. Hechtman, T. Cai, S. Borgeaud and 16 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 4057-4086. PMLR, (2022)An empirical analysis of compute-optimal large language model training.J. Hoffmann, S. Borgeaud, A. Mensch, E. Buchatskaya, T. Cai, E. Rutherford, D. de Las Casas, L. Hendricks, J. Welbl, A. Clark and 12 other author(s). NeurIPS, (2022)Improving language models by retrieving from trillions of tokens.S. Borgeaud, A. Mensch, J. Hoffmann, T. Cai, E. Rutherford, K. Millican, G. van den Driessche, J. Lespiau, B. Damoc, A. Clark and 18 other author(s). CoRR, (2021)Grandmaster level in StarCraft II using multi-agent reinforcement learning.O. Vinyals, I. Babuschkin, W. Czarnecki, M. Mathieu, A. Dudzik, J. Chung, D. Choi, R. Powell, T. Ewalds, P. Georgiev and 32 other author(s). Nat., 575 (7782): 350-354 (2019)Improving Language Models by Retrieving from Trillions of Tokens.S. Borgeaud, A. Mensch, J. Hoffmann, T. Cai, E. Rutherford, K. Millican, G. van den Driessche, J. Lespiau, B. Damoc, A. Clark and 18 other author(s). ICML, volume 162 of Proceedings of Machine Learning Research, page 2206-2240. PMLR, (2022)Local Search on Trees and a Framework for Automated Construction Using Multiple Identical Robots: (Extended Abstract).T. Cai, D. Zhang, T. Kumar, S. Koenig, and N. Ayanian. AAMAS, page 1301-1302. ACM, (2016)Unified Scaling Laws for Routed Language Models.A. Clark, D. de Las Casas, A. Guy, A. Mensch, M. Paganini, J. Hoffmann, B. Damoc, B. Hechtman, T. Cai, S. Borgeaud and 16 other author(s). CoRR, (2022)Training Compute-Optimal Large Language Models.J. Hoffmann, S. Borgeaud, A. Mensch, E. Buchatskaya, T. Cai, E. Rutherford, D. de Las Casas, L. Hendricks, J. Welbl, A. Clark and 12 other author(s). CoRR, (2022)Scaling Language Models: Methods, Analysis & Insights from Training Gopher.J. Rae, S. Borgeaud, T. Cai, K. Millican, J. Hoffmann, H. Song, J. Aslanides, S. Henderson, R. Ring, S. Young and 70 other author(s). CoRR, (2021)Red Teaming Language Models with Language Models.E. Perez, S. Huang, H. Song, T. Cai, R. Ring, J. Aslanides, A. Glaese, N. McAleese, and G. Irving. EMNLP, page 3419-3448. Association for Computational Linguistics, (2022)

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Disambiguation of "Cai, Trevor"

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

Please choose a person to relate this publication to

Trevor Hansen

Trevor Jones

Trevor Collins

Trevor Hogan

Trevor Bekolay

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Cai, Trevor"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML An empirical analysis of compute-optimal large language model training.

Please choose a person to relate this publication to

Trevor Hansen

Trevor Jones

Trevor Collins

Trevor Hogan

Trevor Bekolay

Other publications of authors with the same name

Disambiguation

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