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Updated: May 22, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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探索基于流域内部知识图和大型语言模型的山区洪水预测的长期短期记忆.

Songsong Wang1,2, Ouguan Xu1

  • 1School of Computer Science and Technology, Zhejiang University of Water Resources and Electric Power, Hangzhou, China.

PloS one
|March 13, 2025
PubMed
概括

这项研究利用长短期记忆 (LSTM) 网络与流域内部知识图 (KG) 和大语言模型 (LLM) 集成,增强了山区洪水预测. 这种LLM-KG-LSTM方法通过结合关键的水文数据关系来提高预测准确性.

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