融合大语言模型的国防科技情报智能感知系统构建及应用研究

Research on the Construction and Application of Intelligent Perception System of National Defense Science Technology Intelligence Integrating Large Language Models

[目的/意义]在全球地缘冲突风险下,搭建自主可控的国防科技情报智能感知系统,对国家安全和军队建设的战略决策支撑作用重大。开展融合大语言模型的国防科技情报智能感知系统建设研究,能提高情报获取效率和智能分析能力。[方法/过程]该系统通过自动采集分类更新,可以快速识别技术情报及专家情报;构建了庞大知识库和信息模型,融合大语言模型智能挖掘创新点和前沿技术。[结果/结论]该系统总体上实现了根据任务及时监测重要情报线索、深度挖掘支撑可信情报的证据及证据链、智能感知领域技术关键内容等功能,为国防科技情报工作在人工智能时代提质增效提供参考借鉴。

[Purpose/significance]Under the risk of global geopolitical conflicts,building an autonomous and controllable defense technology intelligence intelligent perception system plays a significant role in supporting strategic decision-making for national security and military construction.The construction of a defense technology intelligence intelligent perception system that integrates large language models can improve intelligence acquisition efficiency and intelligent analysis capabilities.[Method/process]The system can quickly identify technical intelligence and expert intelligence by automatically collecting and classifying updates.The study has built huge knowledge bases and information models,integrating large language models to intelligently explore innovative points and cutting-edge technologies.[Result/conclusion]The system generally achieves functions such as timely monitoring of important intelligence clues based on tasks,deep mining supporting evidence and evidence chains of credible intelligence,and intelligent perception of the key field technical content.It can provide reference for improving the quality and efficiency of national defense science and technology intelligence work in the era of artificial intelligence.