| 彭鹏.大模型时代我国知识服务领域面临的挑战[J].情报工程,2025,11(1):054-062 |
| 大模型时代我国知识服务领域面临的挑战 |
| Challenges of Large Models for Knowledge Service in China |
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| DOI： |
| 中文关键词: 大模型；知识服务；ChatGPT；生成式人工智能；基础模型 |
| 英文关键词: Large Models; Knowledge Service; ChatGPT; Generative Artificial Intelligence; Foundation Model |
| 基金项目: |
| 作者 | 单位 | | 彭鹏 | 中国科学技术信息研究所 北京 100038 |
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| 摘要点击次数: 44 |
| 全文下载次数: 18 |
| 中文摘要: |
| [目的/意义]大模型快速发展对各行业具有深远影响，着重探讨大模型在知识服务领域的应用。[方法/过程]对大模型发展概况、主要国家或地区发布的相关政策、文献情报领域及知识服务行业针对大模型应用的研究进展进行分析，探讨了国内外主要的知识服务类机构在大模型方面的相关布局和研发特点，分析指出国内知识服务领域在运用大模型过程中面临的挑战，并有针对性地提出应对策略。[结果/结论] 从国产知识服务大模型研发、评估体系构建以及人才队伍的组建和培养方面提出了针对性建议。 |
| 英文摘要: |
| [Objective/Significance] Large Models have been developing rapidly and applied in multiple fields, which has had a profound impact on the multi-industry application. This paper focuses on exploring the application of large models in the field of knowledge service. [Methods/Processes] This paper analyzes the development overview of large models, relevant policies issued by major countries or regions, research progress in the field of literature and intelligence as well as in the knowledge service for the application of large models. It explores the layout and R&D characteristics of major knowledge service institutions in the large models. The analysis points out the challenges that may be faced by the domestic knowledge service field in the process of applying large models, and proposes targeted strategies to deal with them. [Results/Conclusions] Targeted suggestions are proposed in the research and development of domestic knowledge service large models, the construction of an evaluation system,and the formation and cultivation of talent teams. |
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