Core Viewpoint - The company is advancing its AI product architecture to support various foundational models, aiming for deep integration of LLM with industry scenarios [1] Group 1 - The company’s AI product system architecture supports multiple foundational models, including Qwen and DeepSeek [1] - The technology ecosystem covers knowledge management, intelligent interaction, and engineering optimization [1] - The company is continuously promoting the deep integration of LLM with industrial applications [1] Group 2 - The company is building a multidimensional expert knowledge base system by integrating LLM's semantic parsing and dynamic learning capabilities [1]

Group 1 - The company has confirmed that its AI product architecture supports various foundational models, including Qwen and DeepSeek, indicating a versatile approach to AI integration [2] - The company is focused on building a technology ecosystem that encompasses knowledge management, intelligent interaction, and engineering optimization, highlighting its commitment to advancing AI applications [2] - By integrating the semantic parsing and dynamic learning capabilities of large language models (LLMs), the company aims to create a multidimensional expert knowledge base system [2]