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相关概念视频

Gradient and Del Operator01:14

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In mathematics and physics, the gradient and del operator are fundamental concepts used to describe the behavior of functions and fields in space. The gradient is a mathematical operator that gives both the magnitude and direction of the maximum spatial rate of change. Consider a person standing on a mountain. The slope of the mountain at any given point is not defined unless it is quantified in a particular direction. For this reason, a "directional derivative" is defined, which is a vector...
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In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
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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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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
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Generalization, Discrimination, and Extinction

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Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
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When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
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相关实验视频

Updated: Jun 18, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

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联合双特征蒸和梯度渐进修剪用于BERT压缩.

Zhou Zhang1, Yang Lu2, Tengfei Wang1

  • 1School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230009, China.

Neural networks : the official journal of the International Neural Network Society
|July 30, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了联合修剪和蒸,以有效地压缩大型语言模型. 新的梯度渐进修剪和双特征蒸方法增强了模型压缩和知识传输,优于现有技术.

关键词:
知识的蒸知识的蒸.预先训练的模型压缩压缩.结构化的修剪.

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科学领域:

  • 人工智能的人工智能
  • 自然语言处理自然语言处理.
  • 机器学习 机器学习

背景情况:

  • 大型预训练语言模型 (PLM) 是计算密集型的.
  • 切割和蒸等模型压缩技术对于高效部署至关重要.
  • 现有的方法在最佳性,偏差和知识转移效率方面存在局限性.

研究的目的:

  • 提出一种新的联合修剪和蒸方法,用于PLM的自动压缩.
  • 为了解决传统修剪方法中的次优度和偏差.
  • 通过更好地利用教师模型信息来改善蒸中的知识转移.

主要方法:

  • 梯度渐进修剪 (GPP):实现单位重要性顺利趋同到零,以实现更高的稀疏性.
  • 双特征蒸 (DFD):采用适应性的全球教师和本地学生特征融合,以增强知识传递.
  • GPP和DFD的联合应用用于全面的PLM压缩.

主要成果:

  • 与传统方法相比,GPP可以实现更顺的修剪,并支持更高的稀疏度水平.
  • 德国开发中心为有效的多层次知识提取提供了"预览-审查"机制.
  • 综合方法在GLUE基准指标上明显优于最先进的方法.

结论:

  • 拟议的联合修剪和蒸方法为压缩PLM提供了一种优越的方法.
  • GPP和DFD有效地减轻了个别修剪和蒸技术的限制.
  • 这项工作促进了大型语言模型的高效部署,而不会影响性能.