Zobrazeno 1 - 10
of 301
pro vyhledávání: '"Sepassi, A."'
Autor:
Chowdhery, Aakanksha, Narang, Sharan, Devlin, Jacob, Bosma, Maarten, Mishra, Gaurav, Roberts, Adam, Barham, Paul, Chung, Hyung Won, Sutton, Charles, Gehrmann, Sebastian, Schuh, Parker, Shi, Kensen, Tsvyashchenko, Sasha, Maynez, Joshua, Rao, Abhishek, Barnes, Parker, Tay, Yi, Shazeer, Noam, Prabhakaran, Vinodkumar, Reif, Emily, Du, Nan, Hutchinson, Ben, Pope, Reiner, Bradbury, James, Austin, Jacob, Isard, Michael, Gur-Ari, Guy, Yin, Pengcheng, Duke, Toju, Levskaya, Anselm, Ghemawat, Sanjay, Dev, Sunipa, Michalewski, Henryk, Garcia, Xavier, Misra, Vedant, Robinson, Kevin, Fedus, Liam, Zhou, Denny, Ippolito, Daphne, Luan, David, Lim, Hyeontaek, Zoph, Barret, Spiridonov, Alexander, Sepassi, Ryan, Dohan, David, Agrawal, Shivani, Omernick, Mark, Dai, Andrew M., Pillai, Thanumalayan Sankaranarayana, Pellat, Marie, Lewkowycz, Aitor, Moreira, Erica, Child, Rewon, Polozov, Oleksandr, Lee, Katherine, Zhou, Zongwei, Wang, Xuezhi, Saeta, Brennan, Diaz, Mark, Firat, Orhan, Catasta, Michele, Wei, Jason, Meier-Hellstern, Kathy, Eck, Douglas, Dean, Jeff, Petrov, Slav, Fiedel, Noah
Large language models have been shown to achieve remarkable performance across a variety of natural language tasks using few-shot learning, which drastically reduces the number of task-specific training examples needed to adapt the model to a particu
Externí odkaz:
http://arxiv.org/abs/2204.02311
Publikováno v:
In Journal of Pharmaceutical Sciences December 2024 113(12):3497-3517
Autor:
Roberts, Adam, Chung, Hyung Won, Levskaya, Anselm, Mishra, Gaurav, Bradbury, James, Andor, Daniel, Narang, Sharan, Lester, Brian, Gaffney, Colin, Mohiuddin, Afroz, Hawthorne, Curtis, Lewkowycz, Aitor, Salcianu, Alex, van Zee, Marc, Austin, Jacob, Goodman, Sebastian, Soares, Livio Baldini, Hu, Haitang, Tsvyashchenko, Sasha, Chowdhery, Aakanksha, Bastings, Jasmijn, Bulian, Jannis, Garcia, Xavier, Ni, Jianmo, Chen, Andrew, Kenealy, Kathleen, Clark, Jonathan H., Lee, Stephan, Garrette, Dan, Lee-Thorp, James, Raffel, Colin, Shazeer, Noam, Ritter, Marvin, Bosma, Maarten, Passos, Alexandre, Maitin-Shepard, Jeremy, Fiedel, Noah, Omernick, Mark, Saeta, Brennan, Sepassi, Ryan, Spiridonov, Alexander, Newlan, Joshua, Gesmundo, Andrea
Recent neural network-based language models have benefited greatly from scaling up the size of training datasets and the number of parameters in the models themselves. Scaling can be complicated due to various factors including the need to distribute
Externí odkaz:
http://arxiv.org/abs/2203.17189
Autor:
Barham, Paul, Chowdhery, Aakanksha, Dean, Jeff, Ghemawat, Sanjay, Hand, Steven, Hurt, Dan, Isard, Michael, Lim, Hyeontaek, Pang, Ruoming, Roy, Sudip, Saeta, Brennan, Schuh, Parker, Sepassi, Ryan, Shafey, Laurent El, Thekkath, Chandramohan A., Wu, Yonghui
We present the design of a new large scale orchestration layer for accelerators. Our system, Pathways, is explicitly designed to enable exploration of new systems and ML research ideas, while retaining state of the art performance for current models.
Externí odkaz:
http://arxiv.org/abs/2203.12533
Akademický článek
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Autor:
Hurley-Kim, Keri, Vu, Chuong Hoang, Dao, Nhat Minh, Tran, Lam Chau, McBane, Sarah, Lee, Joyce, Sepassi, Aryana
Publikováno v:
In Endocrine Practice November 2023 29(11):862-867
Autor:
Sepassi, Aryana, Saunders, Ila M., Bounthavong, Mark, Taplitz, Randy A., Logan, Cathy, Watanabe, Jonathan H.
Publikováno v:
In Journal of the American Pharmacists Association July-August 2023 63(4):1138-1149
Autor:
Kaiser, Lukasz, Babaeizadeh, Mohammad, Milos, Piotr, Osinski, Blazej, Campbell, Roy H, Czechowski, Konrad, Erhan, Dumitru, Finn, Chelsea, Kozakowski, Piotr, Levine, Sergey, Mohiuddin, Afroz, Sepassi, Ryan, Tucker, George, Michalewski, Henryk
Model-free reinforcement learning (RL) can be used to learn effective policies for complex tasks, such as Atari games, even from image observations. However, this typically requires very large amounts of interaction -- substantially more, in fact, th
Externí odkaz:
http://arxiv.org/abs/1903.00374
Akademický článek
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Akademický článek
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