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Updated: Mar 6, 2026

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一个有效的策略,用于微调大型语言模型

Benjamin Marsh1, Adam Michaleas2, Darrell O Ricke2

  • 1Marine Corps Tactical Systems Support Activity, United States Marine Corps, Camp Pendleton, CA, United States.

Frontiers in artificial intelligence
|March 5, 2026
PubMed
概括

本研究介绍了蒸逐步 (DSS) 对于高效的大型语言模型 (LLM) 微调,使用有限的数据和计算. DSS与LoRA或QLoRA相结合,为特定领域的LLM适应提供了一个实用的解决方案.

关键词:
在NLP中,我们使用了NLP.深度学习是一种深度学习.分布式计算分布式计算精细调整 - 微调大型语言模型.神经网络的神经网络的神经网络

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