Research on the Prospects of Intelligentization in University Libraries in the AIGC Era
The digital and intelligent development of university libraries cannot be separated from the application of AIGC technology,but it also faces a series of challenges in its application process.The paper focuses on analyzing technologies such as Feedback Reinforcement Learning(RLHF),Text Image Comparison Pre-training(CLIP),Diffusion Model,and ChatGPT,discussing their potential in improving library service efficiency and meeting user needs.It also emphasizes the challenges of data quality,copyright,technology cost,reader privacy,and digital standards,and proposes corresponding strategies to provide guidance and suggestions for university libraries in the AIGC era.