Research on the Path of Intelligent Library Innovation Ecological Construction Based on Ai Large Model

In recent years, large artificial intelligence models have become the focus of the global science and technology field with their excellent performance and wide application potential. Large models usually refer to deep learning models with massive parameters, such as OpenAI's GPT series, Google's BERT, etc., which can handle complex natural language tasks and show amazing levels of intelligence. As a new stage in the development of libraries, smart libraries integrate advanced technologies such as the Internet of Things, big data and artificial intelligence, aiming to provide users with more intelligent and personalized services. This study comprehensively uses a variety of research methods, and strives to comprehensively and deeply analyze the innovative ecological construction path of intelligent library enabled by AI large model. It is mainly reflected in the following aspects: First, multi-perspective integration, breaking through the limitations of a single technology or business link, comprehensively discussing the empowering role of AI large model on smart library from multiple perspectives such as technological innovation, service optimization, management improvement, and ecological collaboration, and building a comprehensive innovation ecosystem; Second, technology integration and innovation, in-depth study of AI large model and the Internet of Things, big data, blockchain and other emerging technologies in the smart library scene of the integration of application mode, give full play to the advantages of different technologies, to achieve the library intelligence level leapfrog improvement; Third, case-driven practical guidance, supported by a wealth of practical cases, not only puts forward a theoretical innovation path, but also pays more attention to providing practical guidelines with strong operability for library managers and practitioners to help the implementation and continuous optimization of smart library projects. It is of great significance to deeply study the path of intelligent library innovation ecological construction enabled by AI large model for improving the service quality and competitiveness of libraries.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/aaicv66571.2025.00017
Primary Topic
Regional Development and Environment
Type
article
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Research on the Path of Intelligent Library Innovation Ecological Construction Based on Ai Large Model

Yulan Zhang
Regional Development and Environment
article

Research on the Path of Intelligent Library Innovation Ecological Construction Based on Ai Large Model

Yulan Zhang
article en

Abstract

In recent years, large artificial intelligence models have become the focus of the global science and technology field with their excellent performance and wide application potential. Large models usually refer to deep learning models with massive parameters, such as OpenAI's GPT series, Google's BERT, etc., which can handle complex natural language tasks and show amazing levels of intelligence. As a new stage in the development of libraries, smart libraries integrate advanced technologies such as the Internet of Things, big data and artificial intelligence, aiming to provide users with more intelligent and personalized services. This study comprehensively uses a variety of research methods, and strives to comprehensively and deeply analyze the innovative ecological construction path of intelligent library enabled by AI large model. It is mainly reflected in the following aspects: First, multi-perspective integration, breaking through the limitations of a single technology or business link, comprehensively discussing the empowering role of AI large model on smart library from multiple perspectives such as technological innovation, service optimization, management improvement, and ecological collaboration, and building a comprehensive innovation ecosystem; Second, technology integration and innovation, in-depth study of AI large model and the Internet of Things, big data, blockchain and other emerging technologies in the smart library scene of the integration of application mode, give full play to the advantages of different technologies, to achieve the library intelligence level leapfrog improvement; Third, case-driven practical guidance, supported by a wealth of practical cases, not only puts forward a theoretical innovation path, but also pays more attention to providing practical guidelines with strong operability for library managers and practitioners to help the implementation and continuous optimization of smart library projects. It is of great significance to deeply study the path of intelligent library innovation ecological construction enabled by AI large model for improving the service quality and competitiveness of libraries.

South China Agricultural University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 76%
Regional Development and Environment
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