通过小型模型改进大型模型:降低成本和更好的性能

Dong Chen1, Fei Gao1, Shuo Zhang2

  • 1School of Computer and Artificial Intelligence, Zhengzhou University, Zhengzhou, 450000, China.

概括

数据切换+ (DS+) 允许小型和大型模型协作,降低成本和提高性能. 这种范式有效地路由查询,提高预训练的大型模型 (PLM) 的效率.

相关概念视频

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
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Typical Model Studies01:30

Typical Model Studies

Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Improving Translational Accuracy02:07

Improving Translational Accuracy

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Reducing Line Loss01:18

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Modeling and Similitude01:12

Modeling and Similitude

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