大模型驱动下智能化城市公共服务应用探究

Exploration of intelligent urban public service applications driven by large models

基于现阶段城市公共服务数字化发展所面临的挑战,对大模型赋能城市公共服务进行机理分析,并围绕教育、医疗、养老、出行、住房、就业等领域,以“政策分析、流程优化、资源调配、效用评估、舆情监测”为要点探究大模型驱动下智能化城市公共服务应用框架,思考大模型如何进一步完善城市数据治理、更好驱动城市公共服务。

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.