Exploration of the Application of Large Language Models in Library and Information Science at Home and Abroad
Against the backdrop of continuous development in artificial intelligence(AI)technology,large language models(LLMs)such as OpenAI's GPT series have gained widespread attention and demonstrated potential applications in various fields,including library and information science.This article explores successful application cases of LLMs in library and information tasks such as literature classification,abstract generation,and reader recommendations both at home and abroad.Building upon the analysis of LLM application potential,it further discusses new directions for LLM applications including knowledge integration,structured data utilization,academic authenticity verification,and AI scientist roles.However,challenges such as significant computational resource requirements and limited generalization capabilities remain for LLMs in library and information science applications.Successful utilization of LLMs relies on technological and managerial innovations within the field,which needs cautious advancement.
Large Language ModelLLMGPTLibrary and Information ScienceAITechnological Application
万方数据
维普
