Why PEFT Beats FFT in Active Learning: Forgetting Dynamics and Stable Representations
文章探讨了通过模型调优技术（如适配器模块和主动学习）提升预训练模型在低资源环境下的任务适应性与性能表现。 2025-8-25 21:22:22 Author: hackernoon.com(查看原文) 阅读量:9 收藏

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Transferring the essence of optimal performance, and saving the model from the abyss of underfitting.

August 25th, 2025

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    Model Tuning

    byModel Tuning@modeltuning

      byModel Tuning@modeltuning

      Transferring the essence of optimal performance, and saving the model from the abyss of underfitting.

      Story's Credibility

      Academic Research Paper

    Model Tuning

      byModel Tuning@modeltuning

      Transferring the essence of optimal performance, and saving the model from the abyss of underfitting.

      Story's Credibility

      Academic Research Paper

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    Transferring the essence of optimal performance, and saving the model from the abyss of underfitting.

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