探寻产业发展“新引擎”• 特色产业集群 | 垂直大模型融入产业仍要闯三关

Core Viewpoint - The transition of large AI models from general to vertical applications is becoming a core engine driving industrial transformation, with significant implications for China's industrial intelligence and competitiveness on a global scale [1] Group 1: Challenges in Implementing Vertical Large Models - The supply of high-quality vertical data, which is essential for AI applications, remains insufficient in China, with low representation of Chinese vertical data in global training datasets and limited openness of proprietary industry data [1] - The establishment of data-sharing platforms in collaboration with leading enterprises and research institutions is recommended to enhance compliance and model adaptability in vertical scenarios [2] - Many small and medium-sized financial institutions still rely on rule engines due to computational cost constraints, highlighting the need for lightweight vertical models that optimize performance while reducing deployment costs [3] Group 2: Strategies for Advancement - Accelerating the establishment of industry-specific evaluation systems to ensure accuracy and safety in AI applications is crucial for the precise implementation of vertical large models [2] - The development of vertical model industrial parks to integrate computing resources and provide low-cost services for small enterprises is suggested, particularly in advantageous sectors like agriculture and automotive [3] - Focusing on industry pain points and practical applications is essential for the transition of vertical large models from isolated breakthroughs to a thriving ecosystem [3]