预训练大模型在公安领域中的应用场景研究  

Application scenarios for public security based on pre-trained model

作　　者：孙克强 SUN Keqiang(Sichuan Provincial Department of Public Security 610000,China)

机构地区：[1]四川省公安厅,四川成都610000

出　　处：《通信与信息技术》2025年第1期104-108,共5页Communication & Information Technology

摘　　要：作为人工智能发展脉络中的里程碑,大模型以其强大的计算能力和深度学习技术,极大地提高了内容生产效率,促进内容生产方式颠覆式变革。本文从大模型的基本定义和预训练大模型产生的背景入手,结合公安工作特点,分类探讨了预训练大模型在公安不同工作场景中的应用。最后,文章对预训练大模型在公安工作中应用存在的风险进行了探讨,并提出了相应的应对策略。As a milestone in the development of artificial intelligence,Large Language Models,with their powerful computing power and deep learning technology,have greatly improved content production efficiency and promoted disruptive changes in content production methods.This article starts with the basic definition of Large Language Models and the background of Pre-trained Model.Combining with the characteristics of public security work,it classifies and explores the application of Pre-trained Model in different public security work scenarios.Finally,the article explores the application risks of Pre-trained Model in public security work and proposes corresponding response strategies.

关 键 词：公安 预训练大模型 实战工作 应用场景 风险 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]