相关实验视频

Updated: Sep 11, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

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

Published on: December 6, 2024

681

为跨学科的环境挑战微调大型语言模型

Yuanxin Zhang1,2, Sijie Lin1,3, Yaxin Xiong1,2

  • 1State Key Laboratory of Soil Pollution Control and Safety, Southern University of Science and Technology, Shenzhen, 518055, China.

Environmental science and ecotechnology
|August 13, 2025
PubMed
概括

我们为环境科学中的大型语言模型 (LLM) 开发了一个统一的管道,创建了EnvGPT,ChatEnv数据集和EnvBench基准. EnvGPT实现了最先进的性能,加速了环境研究中的AI采用.

关键词:
人工智能的人工智能是人工智能.环境科学环境科学精细调整 微调 精细调整指令数据集指令数据集大型语言模型.

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