A Case Study of Hybrid-Architecture Multimodal LLM for Traditional Manufacturing Productivity Enhancement

This letter presents a hybrid-architecture multimodal large language model (LLM) tailored for manufacturing enterprises [2][3]. By integrating open-source DeepSeek frameworks with commercial APIs (e.g., OpenAI, Microsoft Copilot), our solution achieves 91% data usability through novel three-tier validation (format→logic→business rules) [4] and 40% cost reduction via adaptive compute allocation. The architecture securely deploys sensitive data onpremises while enabling natural language interfaces for product design optimization (15% faster iteration) and fault diagnosis (92% accuracy). A low-code platform on Dify accelerates deployment, reducing development time by 35%.