Overview of Research on Large Model-Driven AI Application: Technical Adaptation Paths, Scenario Innovation Paradigms, and Industrial Empowerment Value

DOI: https://doi.org/10.62517/jbdc.202601127

Author(s)

Qingtao Wu, Deming li

Affiliation(s)

School of Computer Science,Zhengzhou University of Aeronautics, Zhengzhou,China

Abstract

This paper takes the large model-driven AI landing application as the research object and conducts a systematic review around the three-dimensional main line of "Technical Adaptation - Scenario Innovation - Industrial Empowerment". It sorts out the core technical adaptation paths consisting of model lightweighting, deployment mode adaptation and the trustworthy AI system, analyzes the scenario innovation paradigms in the fields of government services, industrial operation, industry and people's livelihood, and expounds the empowering value of large models at the levels of enterprise cost reduction and efficiency improvement, industrial format upgrading and macro industrial synergy. Meanwhile, it points out the core challenges faced by the current landing of large models, such as technical compliance and scenario-industry adaptation. Finally, it prospects the technical development trends of lightweighting, verticalization and trustworthiness, as well as the application directions of in-depth development of segmented scenarios and industrial ecological synergy, providing a theoretical reference and practical framework for the industrialization landing of AI technology.

Keywords

Large Models; AI Landing; Technical Adaptation; Scenario Innovation; Industrial Empowerment

References

[1] Liu Shiqi, Liu Zhi, Duan Huimin, et al. -- Technical Architecture, Development Status, Practical Paths, and Future Outlook [J]. Journal of Distance Education, 2025, 43(1):33-45. [2] Yin Ximing, Wu Peiqi, Qian Yating, et al. Scene-driven digital and intelligent technology innovation empowers new productive forces: theoretical logic and practical approach [J]. China Soft Science, 2024(10):18-31. [3] Fan Yuan. Research on the Value Realization of 5G Technology for Industrial Internet [D]. Beijing University of Posts and Telecommunications, 2022. [4] Feng Xia, Mao Lingfeng, Xu Tingting, et al. Overview of Large Language Model Security Research for Vehicle-Road-Cloud Cooperative Autonomous Driving [J]. Journal of Communications, 2025, 46(11).