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OceanGPT: A Large Language Model for Ocean Science Tasks
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论文简述:在这篇名为OceanGPT: A Large Language Model for Ocean Science Tasks的论文中,作者们提出了一种针对海洋科学任务的大型语言模型——OceanGPT。这个模型旨在解决当前大型语言模型在应对海洋科学家需求方面的不足,以及海洋数据复杂性和知识精细度方面的问题。为了实现这一目标,作者们采用了一种名为DoInstruct的创新框架来自动获取大量海洋领域指导数据。这些数据基于多Agent协作生成,从而提高了OceanGPT在海洋科学任务上的专业知识水平。同时,论文还构建了一个名为OceanBench的首个海洋学基准测试,以评估大型语言模型在海洋领域的能力。通过全面的实验验证,OceanGPT不仅展示了在海洋科学任务上更高的知识专业素养,还在海洋技术方面初步展现了具身智能能力。作者们表示,相关代码、数据和检查点将尽快发布到https://github.com/zjunlp/KnowLM网站上供研究者们使用。 论文链接: https://arxiv.org/pdf/2310.02031
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