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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

M. Reid, N. Savinov, D. Teplyashin, D. Lepikhin, T. Lillicrap, J. Alayrac, R. Soricut, A. Lazaridou, O. Firat, J. Schrittwieser, I. Antonoglou, R. Anil, S. Borgeaud, A. Dai, K. Millican, E. Dyer, M. Glaese, T. Sottiaux, B. Lee, F. Viola, M. Reynolds, Y. Xu, J. Molloy, J. Chen, M. Isard, P. Barham, T. Hennigan, R. McIlroy, M. Johnson, J. Schalkwyk, E. Collins, E. Rutherford, E. Moreira, K. Ayoub, M. Goel, C. Meyer, G. Thornton, Z. Yang, H. Michalewski, Z. Abbas, N. Schucher, A. Anand, R. Ives, J. Keeling, K. Lenc, S. Haykal, S. Shakeri, P. Shyam, A. Chowdhery, R. Ring, S. Spencer, E. Sezener, and et al.. CoRR, (2024)

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Dmitry Sveshnikov

Dmitry Suslov

Dmitry Varentsov

Dmitry Lobaskin

Dmitry Ivanov

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Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges.N. Arivazhagan, A. Bapna, O. Firat, D. Lepikhin, M. Johnson, M. Krikun, M. Chen, Y. Cao, G. Foster, C. Cherry and 3 other author(s). CoRR, (2019)Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.M. Reid, N. Savinov, D. Teplyashin, D. Lepikhin, T. Lillicrap, J. Alayrac, R. Soricut, A. Lazaridou, O. Firat, J. Schrittwieser and 43 other author(s). CoRR, (2024)Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.J. Shen, P. Nguyen, Y. Wu, Z. Chen, M. Chen, Y. Jia, A. Kannan, T. Sainath, Y. Cao, C. Chiu and 81 other author(s). CoRR, (2019)Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference.S. Kudugunta, Y. Huang, A. Bapna, M. Krikun, D. Lepikhin, M. Luong, and O. Firat. EMNLP (Findings), page 3577-3599. Association for Computational Linguistics, (2021)A very large diversity space of synthetically accessible compounds for use with drug design programs.S. Nikitin, N. Zaitseva, O. Demina, V. Solovieva, E. Mazin, S. Mikhalev, M. Smolov, A. Rubinov, P. Vlasov, D. Lepikhin and 4 other author(s). J. Comput. Aided Mol. Des., 19 (1): 47-63 (2005)GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.D. Lepikhin, H. Lee, Y. Xu, D. Chen, O. Firat, Y. Huang, M. Krikun, N. Shazeer, and Z. Chen. ICLR, OpenReview.net, (2021)GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding.D. Lepikhin, H. Lee, Y. Xu, D. Chen, O. Firat, Y. Huang, M. Krikun, N. Shazeer, and Z. Chen. CoRR, (2020)GLaM: Efficient Scaling of Language Models with Mixture-of-Experts.N. Du, Y. Huang, A. Dai, S. Tong, D. Lepikhin, Y. Xu, M. Krikun, Y. Zhou, A. Yu, O. Firat and 17 other author(s). CoRR, (2021)GSPMD: General and Scalable Parallelization for ML Computation Graphs.Y. Xu, H. Lee, D. Chen, B. Hechtman, Y. Huang, R. Joshi, M. Krikun, D. Lepikhin, A. Ly, M. Maggioni and 6 other author(s). CoRR, (2021)PaLM 2 Technical Report.R. Anil, A. Dai, O. Firat, M. Johnson, D. Lepikhin, A. Passos, S. Shakeri, E. Taropa, P. Bailey, Z. Chen and 43 other author(s). CoRR, (2023)

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Disambiguation of "Lepikhin, Dmitry"

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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Please choose a person to relate this publication to

Dmitry Sveshnikov

Dmitry Suslov

Dmitry Varentsov

Dmitry Lobaskin

Dmitry Ivanov

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Lepikhin, Dmitry"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Please choose a person to relate this publication to

Dmitry Sveshnikov

Dmitry Suslov

Dmitry Varentsov

Dmitry Lobaskin

Dmitry Ivanov

Other publications of authors with the same name

Disambiguation

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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.