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Updated: May 10, 2025

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轻量级预训练的韩语语言模型,基于知识蒸和低级分因数分解

Jin-Hwan Kim1, Young-Seok Choi2

  • 1Korea Telecom Corporation Agentic AI Lab, Seongnam-si 13606, Republic of Korea.

Entropy (Basel, Switzerland)
|April 26, 2025
PubMed
概括

我们使用知识蒸和低级因子分解开发了一个轻量级的韩语语言模型. 这种高效的模型在NLP任务中实现了高性能,即使在资源有限的设备上也是如此.

关键词:
韩国语言模型 韩国语言模型知识的蒸知识的蒸.低级因子分解的低级因子分解自然语言处理自然语言处理.预先训练的语言模型语言模型.资源有限的环境环境.

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