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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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Elmar Jordan

Mareike Jordan

Rainer Jordan

Gerda Jordan

Winfried Jordan

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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)AlgebraNets.J. Hoffmann, S. Schmitt, S. Osindero, K. Simonyan, and E. Elsen. CoRR, (2020)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)Recurrent Independent Mechanisms.A. Goyal, A. Lamb, J. Hoffmann, S. Sodhani, S. Levine, Y. Bengio, and B. Schölkopf. ICLR, OpenReview.net, (2021)Recurrent Independent Mechanisms.A. Goyal, A. Lamb, J. Hoffmann, S. Sodhani, S. Levine, Y. Bengio, and B. Schölkopf. CoRR, (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). CoRR, (2021)Policy composition in reinforcement learning via multi-objective policy optimization.S. Mishra, A. Anand, J. Hoffmann, N. Heess, M. Riedmiller, A. Abdolmaleki, and D. Precup. CoRR, (2023)InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.F. Sun, J. Hoffmann, V. Verma, and J. Tang. ICLR, OpenReview.net, (2020)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)InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization.F. Sun, J. Hoffmann, and J. Tang. CoRR, (2019)

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Disambiguation of "Hoffmann, Jordan"

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

Please choose a person to relate this publication to

Elmar Jordan

Mareike Jordan

Rainer Jordan

Gerda Jordan

Winfried Jordan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Hoffmann, Jordan"

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

Elmar Jordan

Mareike Jordan

Rainer Jordan

Gerda Jordan

Winfried Jordan

Other publications of authors with the same name

Disambiguation

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