This industrial AI platform features a flexible and open architecture, integrating multi-modal large models and automated AI toolchains to support low-code development and one-stop deployment for all users. Its unique value lies in its built-in library of general industrial algorithms, tools, and intelligent Agent capabilities, along with full lifecycle management for various equipment, products, and missing data. By standardizing computing resources, it significantly improves the efficiency of computing power scheduling and allocation, comprehensively enhancing the R&D efficiency of AI algorithm models and the level of automation in the semiconductor display R&D and manufacturing processes. By leveraging large models and specialized algorithm tools, it enables rapid batch annotation of panel defect image data, greatly improving the development efficiency of defect identification algorithms. Furthermore, it automates the defect detection, judgment, and repair processes through Agent technology powered by large models. Simultaneously, the aggregated equipment and defect data form a data dashboard, enabling rapid identification of abnormal defect conditions, thereby ensuring product yield.