Exploration of intelligent urban public service applications driven by large models

doi:10.12267/j.issn.2096-5931.2024.09.007

Abstract

Abstract:

Based on the challenges faced by the digital development of urban public services at this stage, a mechanistic analysis of large models empowering urban public services, focuses on the fields of education, medical care, elderly care, travel, housing, employment, etc., and explores the application framework of intelligent urban public services driven by large models with “policy analysis, process optimization, resource allocation, utility evaluation, and public opinion monitoring” as the key points, and considers how large models can further improve urban data governance and better drive urban public services.

Key words: urban public services, large model, artificial intelligence, data governance

CLC Number:

TN399

ZHANG Yuanmeng, ZHOU Qin, YUAN Lili. Exploration of intelligent urban public service applications driven by large models[J]. Information and Communications Technology and Policy, 2024, 50(9): 37-42.

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http://ictp.caict.ac.cn/EN/10.12267/j.issn.2096-5931.2024.09.007

http://ictp.caict.ac.cn/EN/Y2024/V50/I9/37

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Exploration of intelligent urban public service applications driven by large models

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