Abstract: Large-scale deep learning models rely on wireless networks for distributed training approaches, which are essential to meet the immense computational and data demands. However, the ...
Abstract: As an enabling architecture of Large Models (LMs), Mixture of Experts (MoE) has become prevalent thanks to its sparsely-gated mechanism, which lowers computational overhead while maintaining ...
22 transformer layers 2048 embedding dimensions 16 attention heads 8192 max sequence length Training optimizations: Flash Attention, Grouped Query Attention (GQA), RoPE embeddings, SwiGLU activations ...
The North American energy sector is experiencing a significant shift driven by the rapid growth of distributed energy resources (DERs), challenging traditional utility planning models and ...
1 College of Sports Science, Qufu Normal University, Qufu, China 2 School of Physical Education and Sports Science, South China Normal University, Guangzhou, China Introduction: The efficiency with ...
Ancestral sequence reconstruction (ASR) is a foundational task in evolutionary biology, providing insights into the molecular past and guiding studies of protein function and adaptation. Conventional ...
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