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Updated: Jun 10, 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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通过大型语言模型的应用来缓解生命周期库存建模中的重大挑战

Qingshi Tu1, Jing Guo2, Nan Li2

  • 1Sustainable Bioeconomy Research Group, Department of Wood Science, The University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada.

Environmental science & technology
|October 21, 2024
PubMed
概括

大型语言模型 (LLM) 可以通过解决生命周期库存 (LCI) 建模中缺失的数据和不一致性来提高生命周期评估 (LCA) 的准确性. 这项研究探讨了LLMs.

关键词:
自动化自动化自动化自动化背景数据映射 背景数据映射大型语言模型.生命周期评估 生命周期评估生命周期库存 生命周期库存缺失的数据 缺失的数据可扩展性可扩展性.

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