Research on the Logical Evolution and Institutional Optimization of Government Data Sharing under the Background of Big Language Model

Abstract

With the rapid development of artificial intelligence technology, large language models, as a major breakthrough in the field of natural language processing, are profoundly transforming the logic and mechanisms of government data sharing. This paper aims to explore the
logical transformations and institutional optimization needs and pathways faced by government data sharing in the context of large language
models, providing valuable references for institutional innovation and technological integration at the practical level.