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随着高校数字化转型的深入推进，传统校园服务模式面临诸多困境。本研究以北京大学为案例，构建了基于大模型技术的智慧校园服务体系。研究提出“1+N”智能服务框架，以“小北”为核心平台，衍生出覆盖学习生活、知识管理、科研、教学等多个领域的应用矩阵。在技术创新方面，提出了垂直领域多级知识召回、多路径知识检索融合、多轮对话理解与指代消解等关键技术。系统采用本地部署开源大模型，构建了三层技术架构和多层次安全防护体系。系统在北京大学得到广泛应用，取得了显著应用效果，形成了可复制推广的高校数字治理范式。
Abstract：[1] CHOI W, CHANG C. A survey of techniques, key components, strategies, challenges, and student perspectives on prompt engineering for large language models(LLMs)in education[EB/OL].(2025-03-25)[2025-05-28]. https://doi. org/10.20944/preprints202503.1808.v1.
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基本信息:
DOI：10.16209/j.cnki.cust.2026.s1.010
中图分类号:G647;TP18
引用信息:
[1]秦辉东,马名轩,汤博文,等.基于大模型技术的智慧校园服务体系构建与规模化应用[J].中国高校科技,2026(S1):1-7.DOI:10.16209/j.cnki.cust.2026.s1.010.
2026-01-30
2026-01-30