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相关概念视频

Language and Cognition01:27

Language and Cognition

681
Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
681
Higher Mental Functions of the Brain: Language01:10

Higher Mental Functions of the Brain: Language

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Language is a system of communication that allows the expression of thoughts, ideas, and feelings. The brain processes language in both hemispheres.
Language formation and comprehension take place in the dominant hemisphere. The dominant hemisphere is responsible for understanding the meaning of spoken, written, or sign language, as well as the ability to communicate. For most people, the left hemisphere is the dominant one. The right hemisphere, then, gives tone and emotional context to the...
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Parallel Processing01:20

Parallel Processing

597
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
597
Multimachine Stability01:25

Multimachine Stability

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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
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相关实验视频

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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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DistMLLM:增强多式大型语言模型在异质边缘计算中提供服务

Xingyu Yuan1, Hui Chen1, Lei Liu2

  • 1Department of Sciences and Informatics, Muroran Institute of Technology, Muroran 050-8585, Hokkaido, Japan.

Sensors (Basel, Switzerland)
|December 31, 2025
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概括
此摘要是机器生成的。

在边缘部署多式联络大型语言模型 (MLLMs) 是一个挑战. DistMLLM有效地将MLLM任务分配到异构的边缘设备中,最大限度地提高利并最大限度地减少遗憾.

关键词:
边缘计算是一种边缘计算.大型语言模型一个多特工强盗.任务分配 任务分配

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科学领域:

  • 人工智能的人工智能
  • 边缘计算 边缘计算
  • 机器学习 机器学习

背景情况:

  • 多模大型语言模型 (MLLMs) 为处理各种数据类型 (如文本,图像和音频) 提供了高级功能.
  • 边缘部署的MLLM服务提供了降低的延迟,但面临着来自高计算需求和设备变化的挑战.

研究的目的:

  • 引入DistMLLM,一个新的以利为导向的框架,用于在异质边缘计算环境中高效地部署MLML服务.
  • 解决边缘MLLM任务分配和调度的复杂性,考虑设备功能和竞争利益.

主要方法:

  • DistMLLM将MLML任务分解为编码和推理阶段,根据其计算能力动态地将其分配给边缘设备.
  • 使用多代理盗算法来优化任务分配和调度,学习如何管理不确定的设备条件和供应商竞争.

主要成果:

  • 模拟显示DistMLLM在实现更高的长期利方面显著超过现有基线.
  • 该框架显示,遗憾的显著减少,表明有效的资源利用和适应性决策.
  • DistMLLM被证明是一个可扩展和适应的解决方案,用于在边缘部署MLML服务.

结论:

  • 在异质边缘环境中,DistMLLM提供了一种有效的解决方案,用于在异质边缘环境中利和高效地部署MLLM服务.
  • 拟议的框架通过优化任务分配和资源管理以满足MLLM工作负载的要求来解决边缘人工智能的关键挑战.