体系化人工智能与大语言模型在智能情报场景中的应用

Application of Holistic Artificial Intelligence and Large Language Models for Comprehensive Information Collection

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。

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.