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APBench和基准测试大型语言模型在太空工程的基本天体动力学问题上的表现.
Di Wu1, Raymond Zhang2, Enrico M Zucchelli2
1Department of Aeronautics and Astronautics, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. d_wu@mit.edu.
Scientific reports
|March 6, 2025
概括
研究人员开发了第一个天体动力学问题基准 (APBench) 来评估太空工程中的大型语言模型 (LLM). 该基准评估了LLM在解决复杂的天体动力学研究问题的能力.
科学领域:
- 太空工程 太空工程
- 天体动力学是指天体动力学.
- 人工智能的人工智能
背景情况:
- 大型语言模型 (LLM) 显示出促进STEM研究的前景,特别是在复杂的问题解决方面.
- 提高LLM能力对于其在太空工程等专业领域的应用至关重要.
研究的目的:
- 评估LLM在天体动力学和太空工程中的解决问题的能力.
- 建立一个基准来评估LLM在这个领域的表现.
主要方法:
- 开发了天体动力学问题基准 (APBench),这是一个新的问答数据集.
- 评估使用APBench数据集的开源和封闭基础模型.
主要成果:
- APBench数据集涵盖了天体动力学,航天学和太空工程中的各种子领域.
- 在太空工程应用中对当前基础模型的性能验证.
结论:
- 这项研究引入了天体动力学LLM的第一个基准.
- 这项工作为未来人工智能在太空工程方面的进步铺平了道路,并为太空界定了人工智能.
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