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FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision
Neural Information Processing SystemsAttention, as a core layer of the ubiquitous Transformer architecture, is the bottleneck for large language models and long-context applications. FlashAttention elaborated an approach to speed up attention on GPUs through minimizing memory reads/writes ...
Jay Shah +5 more
semanticscholar +1 more source
A Vision-Language Foundation Model for Precision Oncology
NatureClinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care1,2 ...
Jinxi Xiang +17 more
semanticscholar +1 more source
From Geroscience to Precision Geromedicine: Understanding and Managing Aging
CellMajor progress has been made in elucidating the molecular, cellular and supracellular mechanisms underlying aging. This has spurred the birth of geroscience, which aims to identify actionable hallmarks of aging.
G. Kroemer +11 more
semanticscholar +1 more source
Molecular therapies and precision medicine for hepatocellular carcinoma
Nature Reviews Clinical Oncology, 2018The global burden of hepatocellular carcinoma (HCC) is increasing and might soon surpass an annual incidence of 1 million cases. Genomic studies have established the landscape of molecular alterations in HCC; however, the most common mutations are not ...
J. Llovet, R. Montal, D. Sia, R. Finn
semanticscholar +1 more source
HPCC: high precision congestion control
Conference on Applications, Technologies, Architectures, and Protocols for Computer Communication, 2019Congestion control (CC) is the key to achieving ultra-low latency, high bandwidth and network stability in high-speed networks. From years of experience operating large-scale and high-speed RDMA networks, we find the existing high-speed CC schemes have ...
Yuliang Li +10 more
semanticscholar +1 more source
International Conference on Learning Representations
Low precision training and inference affect both the quality and cost of language models, but current scaling laws do not account for this. In this work, we devise"precision-aware"scaling laws for both training and inference.
Tanishq Kumar +8 more
semanticscholar +1 more source
Low precision training and inference affect both the quality and cost of language models, but current scaling laws do not account for this. In this work, we devise"precision-aware"scaling laws for both training and inference.
Tanishq Kumar +8 more
semanticscholar +1 more source