图书馆与图书馆事业

智能生成技术赋能的图书馆创新创业服务的价值评估与框架设计*

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  • (1.汉口学院   湖北武汉   430212)
    (2.重庆移通学院图书馆   重庆   401520)
    (3.重庆文理学院图书馆   重庆   402160)
刘胜洪,男,汉口学院本科教学评建办公室教授,研究方向:教育教学管理、信息技术应用;秦代辉,男,重庆移通学院图书馆副研究馆员,研究方向:图书情报管理、高校学生教育管理;金济,男,重庆文理学院图书馆馆员,研究方向:数字图书馆、移动图书馆。

收稿日期: 2024-06-07

  网络出版日期: 2024-07-23

基金资助

*本文系教育部2023年产学合作协同育人项目“新文科建设背景下《招聘与甄选》课程混合教学模式创新与实践”(项目编号:2308039240
25144)研究成果之一。

The Value Assessment and Framework Design of Library Innovation and Entrepren-eurship Services Empowered by Intelligent Generation Technology

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Received date: 2024-06-07

  Online published: 2024-07-23

摘要

在当前多模态大模型广泛应用垂直细分领域的发展趋势下,下一代图书馆创新创业服务亟待嵌入一体化智慧生成工具。基于智能生成技术的图书馆创新创业服务将推动图书馆从主动简单服务向按需复杂服务发展、定时区域服务向全时泛在服务发展、低质低效服务向高质高效服务发展,但也面临着训练数据、核心算法以及数据库部署等技术问题和价值对齐、合规审查或监督管理等风险。智能生成技术赋能的图书馆双创服务的实践过程应当遵循参与设计、生成设计、集约设计和合规设计等基本原则,逐步建立至少包括服务对象智助模块、服务人员智助模块和服务监管智助模块等在内的生成式图书馆双创智助系统。

本文引用格式

刘胜洪 秦代辉 金 济 . 智能生成技术赋能的图书馆创新创业服务的价值评估与框架设计*[J]. 图书与情报, 2024 , 44(03) : 115 -123 . DOI: 10.11968/tsyqb.1003-6938.2024038

Abstract

Under the development trend of the widespread application of multi-modal large models in vertically subdivision fields, the next generation of library’s service in mass entrepreneurship and innovation urgently needs to be embedded with integrated intelligent generative tools. Library’s service in innovation and entrepreneurship based on intelligent generation technology will drive libraries to transition from passive simple services to on-demand complex services, from scheduled regional services to all-time ubiquitous services, and from low-quality and inefficient services to high-quality and efficient services. However, they also face technical issues such as training data, core algorithms, and database deployment, as well as risks related to value alignment, compliance review or supervisory management. The practical process of library’s service in innovation and entrepreneurship based on intelligent generation technology should follow basic principles of participatory design, generative design, intensive design, and compliance design, gradually forming a library's generative intelligent system of assisting service, that includes at least service object intelligent assistance module, service personnel intelligent assistance module, and service supervision intelligent assistance module.
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