摘要
高校图书馆数字化、智能化发展离不开AIGC技术的应用,但在其应用过程中也面临一系列问题的挑战.论文通过重点分析反馈强化学习(RLHF)、文图对比预训(CLIP)、可扩散化模型(Diffusion)和ChatGPT等技术,论述了它们在提高图书馆服务效率、满足用户需求方面的潜力的基础上,也强调了数据质量、版权、技术成本、读者隐私和数字化标准等方面的挑战,并提出相应的应对策略,旨在为高校图书馆在AIGC时代的服务提供指南和建议.
Abstract
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.
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