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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, D. de Las Casas, A. Guy, J. Menick, R. Ring, T. Hennigan, S. Huang, L. Maggiore, C. Jones, A. Cassirer, A. Brock, M. Paganini, G. Irving, O. Vinyals, S. Osindero, K. Simonyan, J. Rae, E. Elsen, and L. Sifre. ICML, volume 162 of Proceedings of Machine Learning Research, page 2206-2240. PMLR, (2022)

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Aidan Kavanagh

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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 and 12 other author(s). NeurIPS, (2022)High Fidelity Speech Synthesis with Adversarial Networks.M. Binkowski, J. Donahue, S. Dieleman, A. Clark, E. Elsen, N. Casagrande, L. Cobo, and K. Simonyan. ICLR, OpenReview.net, (2020)Stabilizing Transformers for Reinforcement Learning.E. Parisotto, H. Song, J. Rae, R. Pascanu, Ç. Gülçehre, S. Jayakumar, M. Jaderberg, R. Kaufman, A. Clark, S. Noury and 3 other author(s). ICML, volume 119 of Proceedings of Machine Learning Research, page 7487-7498. PMLR, (2020)Training Compute-Optimal Large Language ModelsJ. 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). (2022)TF-Replicator: Distributed Machine Learning for ResearchersP. Buchlovsky, D. Budden, D. Grewe, C. Jones, J. Aslanides, F. Besse, A. Brock, A. Clark, S. Colmenarejo, A. Pope and 2 other author(s). (2019)cite arxiv:1902.00465.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)Transformation-based Adversarial Video Prediction on Large-Scale Data.P. Luc, A. Clark, S. Dieleman, D. de Las Casas, Y. Doron, A. Cassirer, and K. Simonyan. CoRR, (2020)Improving language models by retrieving from trillions of tokensS. Borgeaud, A. Mensch, J. Hoffmann, T. Cai, E. Rutherford, K. Millican, G. Driessche, J. Lespiau, B. Damoc, A. Clark and 18 other author(s). (2021)cite arxiv:2112.04426Comment: Fix incorrect reported numbers in Table 14.Skilful precipitation nowcasting using deep generative models of radarS. Ravuri, K. Lenc, M. Willson, D. Kangin, R. Lam, P. Mirowski, M. Fitzsimons, M. Athanassiadou, S. Kashem, S. Madge and 10 other author(s). Nature, 597 (7878): 672--677 (September 2021)Number: 7878 Publisher: Nature Publishing Group.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)

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Disambiguation of "Clark, Aidan"

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Improving Language Models by Retrieving from Trillions of Tokens.

Please choose a person to relate this publication to

Aidan Kavanagh

Aidan Islyami

Aidan Kavanagh

Aidan Kavanagh

Aidan Hogan

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Disambiguation

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Disambiguation of "Clark, Aidan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Improving Language Models by Retrieving from Trillions of Tokens.

Please choose a person to relate this publication to

Aidan Kavanagh

Aidan Islyami

Aidan Kavanagh

Aidan Kavanagh

Aidan Hogan

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Disambiguation

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Improving Language Models by Retrieving from Trillions of Tokens.