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体系化人工智能与大语言模型在智能情报场景中的应用

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对体系化人工智能与大语言模型在智能情报收集、分析、决策中的场景应用进行研究.首先,对体系化人工智能与大语言模型的发展现状进行综述,明确相关技术在智能情报场景应用中的优势,并提出了将其融合进智能情报研究的理论框架.其次,对框架的各个功能模块详细解读并就对应的技术点深入分析,探索在此框架体系下对应的具体落地场景.最后,分析了体系化人工智能对智能情报工作效率和准确性的提升,并探讨了在实际应用中可能面临的风险和挑战及未来探索和发展的方向.
Application of Holistic Artificial Intelligence and Large Language Models for Comprehensive Information Collection
The application of holistic artificial intelligence and large language models in the scenarios of comprehensive information collection,analysis,and decision-making has been studied.Firstly,the current state of development of holistic artificial intelligence and large language models is reviewed,where the advantages of the related technologies in the application scenarios of intelligent intelligence are clarified,and a theoretical framework diagram integrating them into intelligent intelligence research is proposed.Secondly,each functional module of the framework is interpreted in detail,and the corresponding technical points are deeply analyzed to explore the specific landing scenarios corresponding to this framework system.Finally,the enhancement of the efficiency and accuracy of intelligent intelligence work by holistic artificial intelligence are analyzed,and the risks and challenges that may be faced in actual applications,as well as the directions for future exploration and development,are discussed.

holistic artificial intelligencelarge language modelsintelligent intelligencescenario-based applications

韩旭、孙亚伟、赵璐

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中国科学技术信息研究所,北京100038

北京邮电大学 计算机学院(国家示范性软件学院),北京100876

北京邮电大学 可信分布式计算与服务教育部重点实验室,北京100876

体系化人工智能 大语言模型 智能情报 场景化应用

中国科学技术信息研究所重点工作项目中国科学技术信息研究所重点工作项目

ZD2023-17ZD2023-11

2024

北京邮电大学学报
北京邮电大学

北京邮电大学学报

CSTPCD北大核心
影响因子:0.592
ISSN:1007-5321
年,卷(期):2024.47(4)