基于大模型和多模态的AIGC在图书馆的应用研究

Research on the Application of AIGC Based on the Large Model and Multimodality in Libraries

人工智能正在飞速发展,影响着各行各业。生成式人工智能基于大模型和多模态,具有精确性、高效性、多样性和可扩展性等特征,提高了人工智能的效率和准确性,并能融合多种信息类型。经调查,传统图书馆的人工智能应用存在智慧化不足的问题,图书馆可以通过利用生成式人工智能,实现图书馆业务流程、阅读推广、信息素养教育、文献内容加工、信息服务的高度智慧化。而这还需要解决内容生存质量、数据偏见、监管、成本以及人才问题。

Artificial intelligence is rapidly developing,affecting various industries.Artificial Intelligence Generated Content(AIGC)is based on the large model and multimodality with features such as accuracy,efficiency,diversity and scalability,which improves the efficiency and accuracy of artificial intelligence and can integrate multiple types of information.After the investigation,there is a problem of insufficient intelligence in the application of artificial intelligence in traditional libraries,so libraries can achieve high intelligence in their business process,reading promo-tion,information literacy education,literature content processing and information service by AIGC,which also re-quires addressing the issues of the content quality of life,data bias,regulation,costs and talents.