AIGC语言模型分析及其高校图书馆应用场景研究

Analysis of AIGC Language Models and Application Scenarios in University Libraries

[目的/意义]AIGC的内容创作方式给图书情报领域带来一场新的变革。对比分析AIGC大语言模型的优缺点,探讨AIGC的运行机制,深入研究高校图书馆场景下的应用方案,为智慧图书馆AIGC应用选型提供崭新的思路。[方法/过程]以ChatGPT、文心一言和Bard三项AIGC应用为例,运用比较分析法进行横向对比研究,归纳总结出AIGC的6个共同特征和9个差异特征,提炼出高校图书馆6个应用场景模式,探讨可能面临的4个潜在风险问题,并提出降低风险的对策。[结果/结论]研究结果表明,ChatGPT更适合在高校图书馆的知识服务、学科服务和行政管理等场景中进行资源整合和决策辅助。文心一言更适合在高校图书馆读者服务、技术服务和文化服务等场景中优化服务和辅助创作。Bard更适合在高校图书馆参考咨询场景中辅助知识问答。采用AIGC应用,高校图书馆尽管会面临伦理风险、隐私风险、数据安全和虚假知识泛滥等问题,但更能优化服务环境,提升智慧化服务水平。

[Purpose/Significance]Artificial intelligence generated content(AIGC)'s content creation method has brought about a new revolution to the field of library and information science(LIS).Currently,the related research is mainly based on AIGC and ChatGPT,while ERNIE bot and Bard are less studied.Comparative analysis of the advantages and disadvantages of the AIGC large language models,discussion of the operating mechanism of AIGC,and in-depth research on application solutions in the context of university libraries provide new ideas for AIGC applications in smart libraries.[Method/Process]Taking the three AIGC applications of ChatGPT,ERNIE bot and Bard as examples,starting from the Transformer model,and on the basis of in-depth analysis of the basic principles of the large language model,the comparative analysis method is used to conduct a horizontal comparison of these three applications.The research summarizes the six common features of AIGC's large language model,and points out that it can be used in improving the work efficiency of university libraries.This paper explains and identifies nine different characteristics of the AIGC large language model,and points out how to choose three applications in university libraries.According to the characteristics of each application,six scenarios-based application modes of university libraries and the advantages of AIGC applications in university libraries are pointed out.A discussion is provided on four potential risks that may be faced by libraries in using AIGC large language models,and solutions are proposed to reduce risks,providing a reference for university libraries to choose AIGC applications.[Results/Conclusions]ChatGPT focuses on natural language understanding and content generation,and has more advantages in the ability of natural language understanding,task applicability and cross-language transfer,and is more suitable for resource integration and decision-making assistance in the context of knowledge services,subject services and administrative management.ERNIE bot has hundreds of billions of super-training parameters,and it can generate multi-modal content including text,pictures and voices.It has more advantages in learning training,model expansion and Chinese comprehension,and is more suitable for optimizing services and assisting creation in the context of reader services,technical services and cultural services in university libraries.By comparison,Bard focuses on human-machine dialogue data processing,it can use natural language to communicate with people,and it is more suitable for providing 24-hour intelligent customer service,assisting subject consultation and knowledge Q&A in the context of reference consultation in university libraries.With the application of AIGC,although university libraries will face ethical risks,privacy risks,data security,and the proliferation of false knowledge,as long as artificial intelligence data governance is strengthened,in the future,university libraries will integrate the natural language understanding and generation capabilities of AIGC large language models that can expand diversified application scenarios,innovate multi-dimensional service models,optimize the business service environment,assist administrative decision-making,and improve the level of intelligent services.