Abstract: The large language model is highland of global technological competition and engine for economic development. As new innovation paradigm emerging in the digital economy era, exploring the mechanism and path of context driven innovation in the industrial architecture of large language model has important theoretical value and practical significance for solving major application and industrialization problems and better supporting high-quality economic development. Based on the theory of context driven innovation, exploring the connotation, core elements, and process mechanisms of context driven innovation in the industrial architecture of large language model industries. It summarizes the specific practical path of context driven innovation in the industrial architecture of large language industries, and verifies and concretizes the practical path through multiple case analyses. It has been found that under the context driven innovation paradigm, the mechanism of innovation in large language model industry architecture can be summarized into four key links: major mission and strategic traction, scenario identification and classification, industrial architecture innovation process, and innovation effects; The innovation of large language model industry architecture under the context driven innovation paradigm covers the systematic integration of technological architecture, the dual transformation of organizational architecture, and the integration of industrial chain architecture. The research results provide important theoretical basis and practical guidance for promoting the higher-level application of large language model and better supporting the high-quality development of the digital economy.

摘要： 数字经济时代大模型是全球科技竞争新高地和经济发展新引擎，而场景驱动作为数字经济时代涌现的全新创新范式，探索场景驱动大模型产业架构创新的机理与路径对解决大模型应用和产业化问题，更好支撑经济高质量发展具有重要的理论价值和实践意义。基于场景驱动创新理论，探讨场景驱动大模型产业架构创新的内涵特征、核心要素以及作用机理，探究场景驱动大模型产业架构创新的实践路径，并通过多案例分析对实践路径进行验证与具象化阐述。研究发现：场景驱动大模型产业架构的作用机理包括战略与使命牵引、场景识别与分类、产业架构创新过程以及创新效应四个关键环节；场景驱动创新范式下的大模型产业架构创新涵盖技术架构的系统性整合、组织架构的双重转型以及产业链架构的贯通融合。研究结果为促进大模型更高水平应用，更好支撑数字经济高质量发展提供了重要的理论依据与实践指导。