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生成式人工智能的快速发展为图书馆的智慧化转型提供了新动能。文章着力探讨国产开源大模型DeepSeek在图书馆智慧化服务场景中的技术适配性和功能进阶作用，认为DeepSeek凭借多模态架构、参数规模与训练策略的效能平衡，能有效优化图书馆的智能问答系统、多模态资源管理及知识组织工具自动化能力，实现元数据智能提取、参考咨询服务升级与语义检索精准化，进而拓展图书馆的社会化价值。研究认为，未来需进一步优化AI使用网络环境、制定AI使用规范并防范AI幻觉风险，以进一步推动生成式人工智能与图书馆智慧化服务的深度融合。
Abstract：The rapid development of generative artificial intelligence has provided new momentum for the intelligent transformation of libraries. This article focuses on exploring the technical adaptability and functional advancement of the domestically developed open-source large model DeepSeek in smart library service scenarios. It suggests that DeepSeek, with its multimodal architecture, balanced parameter scale, and training strategies, can effectively optimize intelligent questionand-answer systems, multimodal resource management, and automation capabilities of knowledge organization tools in libraries. This enables intelligent metadata extraction, upgraded reference and consultation services, and more precise semantic search, thereby expanding the social value of libraries. The study also emphasizes that future efforts should focus on further optimizing AI usage environments, establishing AI usage standards, and preventing AI hallucination risks to promote deeper integration of generative AI with smart library services.
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基本信息:
DOI：10.14064/j.cnki.issn1005-8214.20250228.001
中图分类号:G250.7;G252;TP18
引用信息:
[1]罗坤明,李子晟,张磊,等.国产开源大模型赋能图书馆智慧化服务功能——以DeepSeek为例[J].图书馆理论与实践,2025,No.277(05):86-96.DOI:10.14064/j.cnki.issn1005-8214.20250228.001.
基金信息: