摘要
[目的/意义]以ChatGPT为代表的生成式自然语言处理模型正逐步展现出在图书馆的巨大应用潜力,所表现出的技术优势与图书馆知识服务的发展需求不谋而合,极大地提升了图书馆用户服务的质量和效率。[方法/过程]从介绍ChatGPT的发展历程、技术优势以及业界学术研究成果着手,阐述该技术在跨模态信息组织、文本生成以及用户行为深度挖掘等人工智能方面赋能图书馆参考咨询、信息检索、学科导引以及智慧推荐等知识服务领域中的广泛应用前景,同时,围绕技术局限、用户隐私、不良信息、数据来源、学术诚信等方面所面临的风险与挑战展开分析思辨。[结果/结论]未来图书馆应持续强化业务平台与资源整合、加强内部系统安全防范以及完善风险监督机制等一系列措施来充分应对危机,从而为不断推动图书馆知识服务向纵深发展提供了创新思路。
[Purpose/Significance]The generative natural language processing model represented by ChatGPT is beginning to show great application potential in libraries,and its technical advantages coincide with the development needs of knowledge services,greatly improving the quality and efficiency of user services.[Method/Process]Starting with the introduction of ChatGPT's development history,technical advantages and theoretical and practical research achievements of Chinese and foreign academic circles,this paper explains its technical advantages in cross-modal information organization,text generation,and in-depth mining of user behavior.The most direct use of ChatGPT for a library is to connect the library's collection resources to ChatGPTAPI.Using machine transformer,human feedback reinforcement learning and other technologies to create its own open source chat machine model with intelligent interactive question and answer,text and image multi-mode generation,semantic search and discrimination and other functions,the application scenario covers a range of areas from basic library information services to intelligent knowledge services.During the consultation,users can use natural language to communicate directly with the model,and ChatGPT uses semantic analysis and pre-training models to fine-tune the language environment to provide a more accurate question and answer service in different contexts.During a search,the multi-modal technology of ChatGPT can fully realize the multi-source heterogeneous data input of information resources inside and outside the library,so as to effectively solve the problem of multi-dimensional,multi-level and multi-source cross-mode"heterogeneous aggregation"in information retrieval,and help search engines find more comprehensive search results.In addition,ChatGPT automatically generates subject resources such as abstracts or reviews that are highly relevant to the knowledge content of the user's ongoing conversation.By accurately capturing and analyzing the profile characteristics of users'i
作者
李华明
LI Huaming(Shandong University Library,Jinan 250012)
出处
《农业图书情报学报》
2024年第8期96-105,共10页
Journal of Library and Information Science in Agriculture
基金
山东大学教改项目“数智时代未来学习生态建设”(2023Z21)。
