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Updated: Sep 10, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Published on: December 6, 2024

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从以人为中心的角度对大语言模型驱动的AutoML进行评估

Jiapeng Yao1, Lantian Zhang2, Jiping Huang3

  • 1School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou, Zhejiang, China.

Frontiers in artificial intelligence
|August 21, 2025
PubMed
概括

大型语言模型 (LLM) 提高了自动机器学习 (AutoML) 的可访问性. 这种以人为中心的方法提高了机器学习实施成功率,缩短了开发时间,并弥补了组织的技术技能差距.

关键词:
自动化机器学习深度学习人与计算机的互动大型语言模型自然语言接口

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