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Updated: Feb 17, 2026

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基于神经形态的大型语言模型

Han Xu1,2,3, Xuerui Qiu1,4,5, Yunhui Xu6

  • 1Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.

National science review
|February 16, 2026
PubMed
概括

这项研究引入了一个统一的神经形态基大语言模型 (NSLLM) 框架,显著降低了能源消耗,提高了可解释性. 该NSLLM框架将大型语言模型 (LLM) 转换为高效,可解释的神经动态,为更绿色的人工智能铺平道路.

关键词:
这是一个跨学科的神经科学.神经形态计算是一种神经形态计算.基于尖的LLM.尖的线性注意力.

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