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RESEARCH ON THE DIGITAL TRANSFORMATION PATH OF REGIONAL AGRICULTURAL PRODUCT PUBLIC BRANDS DRIVEN BY LARGE LANGUAGE MODELS

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Volume 1, Issue 1, Pp 6-9, 2024

DOI: https://doi.org/10.61784/its3003

Author(s)

XiaoDan Zhao

Affiliation(s)

School of Business Administration, Baise University, Baise 533000, Guangxi, China.

Corresponding Author

XiaoDan Zhao

ABSTRACT

This study aims to explore the application of large language models (LLMs) in constructing the digital transformation path of regional public brands for agricultural products. Through a review of literature and theoretical analysis, the study systematically reveals the specific roles of LLMs in brand cognition, market promotion, product innovation, and user experience. The results indicate that LLMs not only enhance the precision and interactivity of brand communication but also improve the market competitiveness of brands through intelligent personalized services and product innovation. The conclusion suggests that the intelligent application of LLMs will become a vital trend in the digital development of regional public brands for agricultural products, providing specific practical recommendations for policymakers and brand managers.

KEYWORDS

Large language models; Digital path; Regional public brand; Agricultural products; Brand communication; Intelligent application

CITE THIS PAPER

XiaoDan Zhao. Research on the digital transformation path of regional agricultural product public brands driven by large language models. Innovation and Technology Studies. 2024, 1(1): 6-9. DOI: https://doi.org/10.61784/its3003.

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