Abstract: We study the optimal parallelization strategy of large language models (LLMs) and demonstrate that LLM training workloads generate sparse communication patterns in the network. Consequently, ...
Abstract: Humanoid locomotion is a challenging task due to its inherent complexity and high-dimensional dynamics, as well as the need to adapt to diverse and unpredictable environments. In this work, ...
Evo 2 is a state of the art DNA language model for long context modeling and design. Evo 2 models DNA sequences at single-nucleotide resolution at up to 1 million base pair context length using the ...
How to Design, Create, and Evaluate an Instruction-Tuning Dataset for Large Language Model Training in Health Care: Tutorial From a Clinical Perspective J Med Internet Res 2025;27:e70481 ...
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