Group 1 - The core achievement of the Guangming large model in the recent testing was an overall defect detection rate of 88.06% for 45 key defect categories, with a false detection rate of 2.13, indicating its effectiveness in image recognition for power transmission inspections [1] - The Guangming large model is set to be released by State Grid Corporation of China by the end of 2024, targeting areas such as grid planning, operation, and customer service to facilitate digital transformation in the power industry [1] - The testing focused on three key elements: AI samples, algorithms, and computing power, comparing the Guangming large model (0.45B) with mainstream industry technologies [1] Group 2 - The China Electric Power Research Institute plans to continue building open application scenarios in the power industry, integrating meteorological, remote sensing, and equipment knowledge graph data to enhance model training and optimization [2] - The goal is to achieve deep reasoning and high integration with industry knowledge, accelerating model optimization and cross-platform adaptation to domestic hardware, thereby improving the efficiency of power grid operations [2]