Zobrazeno 1 - 10
of 818
pro vyhledávání: '"P. Hosmer"'
Autor:
Lee, Yejin, Sun, Anna, Hosmer, Basil, Acun, Bilge, Balioglu, Can, Wang, Changhan, Hernandez, Charles David, Puhrsch, Christian, Haziza, Daniel, Guessous, Driss, Massa, Francisco, Kahn, Jacob, Wan, Jeffrey, Reizenstein, Jeremy, Zhai, Jiaqi, Isaacson, Joe, Schlosser, Joel, Pino, Juan, Sadagopan, Kaushik Ram, Shamis, Leonid, Ma, Linjian, Hwang, Min-Jae, Chen, Mingda, Elhoushi, Mostafa, Rodriguez, Pedro, Pasunuru, Ram, Yih, Scott, Popuri, Sravya, Liu, Xing, Wu, Carole-Jean
Generative artificial intelligence (AI) technology is revolutionizing the computing industry. Not only its applications have broadened to various sectors but also poses new system design and optimization opportunities. The technology is capable of un
Externí odkaz:
http://arxiv.org/abs/2410.00215
Autor:
Golden, Alicia, Hsia, Samuel, Sun, Fei, Acun, Bilge, Hosmer, Basil, Lee, Yejin, DeVito, Zachary, Johnson, Jeff, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean
Training large-scale machine learning models poses distinct system challenges, given both the size and complexity of today's workloads. Recently, many organizations training state-of-the-art Generative AI models have reported cases of instability dur
Externí odkaz:
http://arxiv.org/abs/2405.02803
Autor:
Elhoushi, Mostafa, Shrivastava, Akshat, Liskovich, Diana, Hosmer, Basil, Wasti, Bram, Lai, Liangzhen, Mahmoud, Anas, Acun, Bilge, Agarwal, Saurabh, Roman, Ahmed, Aly, Ahmed A, Chen, Beidi, Wu, Carole-Jean
We present LayerSkip, an end-to-end solution to speed-up inference of large language models (LLMs). First, during training we apply layer dropout, with low dropout rates for earlier layers and higher dropout rates for later layers, and an early exit
Externí odkaz:
http://arxiv.org/abs/2404.16710
Autor:
Agarwal, Saurabh, Acun, Bilge, Hosmer, Basil, Elhoushi, Mostafa, Lee, Yejin, Venkataraman, Shivaram, Papailiopoulos, Dimitris, Wu, Carole-Jean
Large Language Models (LLMs) with hundreds of billions of parameters have transformed the field of machine learning. However, serving these models at inference time is both compute and memory intensive, where a single request can require multiple GPU
Externí odkaz:
http://arxiv.org/abs/2403.08058
Autor:
Golden, Alicia, Hsia, Samuel, Sun, Fei, Acun, Bilge, Hosmer, Basil, Lee, Yejin, DeVito, Zachary, Johnson, Jeff, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean
As the development of large-scale Generative AI models evolve beyond text (1D) generation to include image (2D) and video (3D) generation, processing spatial and temporal information presents unique challenges to quality, performance, and efficiency.
Externí odkaz:
http://arxiv.org/abs/2312.14385
Autor:
Hosmer, Samuel
In 1980 Michelsohn defined a differential operator on sections of the complex Clifford bundle over a compact K\"ahler manifold M . This operator is a differential and its Laplacian agrees with the Laplacian of the Dolbeault operator on forms through
Externí odkaz:
http://arxiv.org/abs/2306.06256
Autor:
Fernandez, Luis, Hosmer, Samuel
We obtain a generalization, for a general compact almost complex manifold, of the well-known K\"{a}hler (or Hodge) identities for K\"{a}hler manifolds involving the commutators of the exterior differential and the Lefschetz operator and its adjoint.
Externí odkaz:
http://arxiv.org/abs/2208.07276
Autor:
Marufa Nasreen, Daniel Ellis, Jennifer Hosmer, Ama-Tawiah Essilfie, Emmanuelle Fantino, Peter Sly, Alastair G. McEwan, Ulrike Kappler
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Defenses against oxidative damage to cell components are essential for survival of bacterial pathogens during infection, and here we have uncovered that the DmsABC S-/N-oxide reductase is essential for virulence and in-host survival of the human-adap
Externí odkaz:
https://doaj.org/article/45ee1a4a5cd94359a12b46791327d5f1
Autor:
Tigas, Panagiotis, Hosmer, Tyson
With this work, we investigate the use of Reinforcement Learning (RL) for the generation of spatial assemblies, by combining ideas from Procedural Generation algorithms (Wave Function Collapse algorithm (WFC)) and RL for Game Solving. WFC is a Genera
Externí odkaz:
http://arxiv.org/abs/2101.07579
Akademický článek
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