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Updated: May 17, 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

Published on: December 6, 2024

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增强最后一公里物流:人工智能驱动的车队优化,混合现实和大型语言模型助理用于仓库运营.

Saverio Ieva1, Ivano Bilenchi1, Filippo Gramegna1

  • 1Department of Electrical and Information Engineering, Polytechnic University of Bari, Via E. Orabona 4, 70125 Bari, Italy.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
概括

本研究介绍了使用人工智能和增强现实/混合现实 (AR/MR) 提高效率的最后一公里交付 (LMD) 综合框架. 该系统增强了跨物流运营的协调和信息共享.

关键词:
交谈助手 交谈助手车队优化 车队优化知识图是知识图.大型语言模型.最后一英里的送货最后一英里的物流.混合现实混合现实.过程创新创新的过程创新.过程优化优化过程优化车辆的路线路由.

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