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Updated: Jun 8, 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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调和对大型语言模型对环境影响的截然不同的叙述

Shaolei Ren1, Bill Tomlinson2,3, Rebecca W Black4

  • 1University of California, Riverside, USA. shaolei@ucr.edu.

Scientific reports
|November 2, 2024
PubMed
概括

大型语言模型 (LLM) 具有显著的环境影响,但可以比人类劳动更有效率. 对比评估表明,LLM使用的能源,水和产生更少的排放比人类工作相似的输出.

关键词:
人工智能的人工智能是人工智能.经济成本 经济成本环境影响环境影响环境影响人类工作 人类工作大型语言模型.

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