Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...
1 Department of Computer Science, University of Dschang, Dschang, Cameroon. 2 Department of General and Scientific Education, University Institute of Technology, Bandjoun, Cameroon. 3 Department of ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
SAN FRANCISCO, Oct 24 (Reuters) - IBM (IBM.N), opens new tab said on Friday it can run a key quantum computing error correction algorithm on commonly available chips ...
Explore how speculative decoding techniques, including EAGLE-3, reduce latency and enhance efficiency in AI inference, optimizing large language model performance on NVIDIA GPUs. As the demand for ...
I'm not sure if this is actually a bug or I'm misunderstanding the behavior somehow. The details are here. I'm using it with a custom deserializer that enables sequential decoding. I see ...
I recently read about a new speculative decoding algorithm developed by Intel Labs and the Weizmann Institute, which reportedly improves inference speed by up to 2.8×, even when using draft and target ...
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