Applications and challenges of very large pre-training models in the field of command and control

From: Command and Control Academy

Author: Yang Dongsheng Lu Jingwei Li Qiang Wang Feiyue

Summary

The development of large scale pre-trained model (LSPTM) has produced unexpected effects in the field of artificial intelligence, especially the breakthrough of ChatGPT in natural language processing (NLP), which seems to have opened up the "artificial intelligence" "Intelligent" Rendu Ermai, in just a few months, its intelligence has achieved a leap from intelligence that humans can understand to intelligence that cannot be understood. LSPTM represented by ChatGPT is about to open a new era of silicon-based intelligence. Command and control (C2), as a key element of wisdom that human society is proud of, what kind of opportunities and challenges will it face? Guided by the basic paradigm and basic operating mode framework of the C2 process, this paper comprehensively analyzes the potential applications of LSPTM in the physical domain, information domain, cognitive domain and social domain of C2 activities, and explains how artificial intelligence has evolved from auxiliary tools in the era of silicon-based intelligence. The transition of roles to partners and substitute roles provides opportunities for development in the C2 field. The competition for adversarial C2 in the military field is no longer limited to technology, but to cultivating the cultural heritage of LSPTM. The differences in Eastern and Western cultures and values ​​will determine the differences between two different LSPTMs. Wisdom and intelligence.

Key words

Very large pre-training model, ChatGPT, command and control, basic paradigm

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1  LSPTM

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2 Technical principles and functional analysis of Chat GPT

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3 Analysis of application scenarios of LSPTM in the field of command and control

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4 Opportunities and challenges in the development of C2 field

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5 Conclusion and outlook

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Origin blog.csdn.net/renhongxia1/article/details/132869429