Core Insights - The "MetaSight Experimental Training Model Library" was launched at the "2025 AI Empowerment New Dual High Construction Innovation Application Expert Seminar" in Beijing, marking a significant step in the integration of AI and vocational education [1] - The model library aims to address long-standing issues in vocational education, such as lack of evaluation, management difficulties, and delayed feedback, indicating a shift towards standardized and scalable applications of AI in education [1][3] Group 1: Challenges in Vocational Education - The quality of practical teaching is crucial for assessing vocational education levels, with approximately 1,400 universities offering programs requiring extensive experimental training, serving around 3 million students, leading to a market for intelligent teaching tools worth 1 to 1.5 billion [3] - There exists a significant gap between the high demand for skilled talent and the current application of educational technologies, with traditional training processes often described as "black boxes" where teachers rely on experience for evaluations [3][4] Group 2: Solutions and Innovations - The "MetaSight Experimental Training Model Library" and its underlying technology provide a systematic, domestically developed solution to convert policy blueprints into practical classroom applications [5] - The core engine of this solution is a reconfigurable computing chip (RPU) from Qingwei Intelligent, which allows for dynamic reconfiguration of hardware resources based on different teaching tasks, enhancing flexibility and efficiency [5][7] - The platform integrates deeply with Lingbook AI's model library, forming a complete "cloud-edge-end" collaborative system, already implemented in over ten "dual high" vocational colleges across China [7] Group 3: Transformative Impact on Teaching - The new model aims to significantly enhance the scientific and precise nature of practical training through real-time analysis of operational processes, thereby improving educational outcomes [8] - In practical applications, students receive immediate feedback on their performance, transforming the traditional feedback loop and enhancing the overall learning experience [10] - The open platform based on reconfigurable computing allows for the replication of high-quality training projects into digital models, facilitating the sharing and evolution of teaching wisdom across institutions [10]

Core Viewpoint - The integration of artificial intelligence (AI) into vocational education presents a significant opportunity for transformation, focusing on enhancing teaching efficiency and talent cultivation quality [1] Group 1: AI Integration in Vocational Education - Vocational education is facing challenges such as a shortage of teachers, skill gaps, uneven computing power, and low collaboration efficiency, which are critical for deep AI empowerment in education [2] - The need for high-performance computing that supports thousands of concurrent users with low latency and manageable costs is emphasized as a core requirement for vocational institutions [1][2] Group 2: Company Overview - Qingwei Intelligent, established in 2018, specializes in the research and application of reconfigurable processing units (RPU) for AI computing, targeting various scenarios including AI computing centers and intelligent manufacturing [2][3] - The company has received investments from national and local funds, as well as from industry leaders like Ant Group and Baidu, indicating strong market confidence [3] Group 3: Technological Innovations - Qingwei's reconfigurable computing technology allows dynamic hardware adjustments to adapt to different algorithms, achieving high-end chip performance without relying on advanced processes [4] - The TX81 AI high-performance chip can deliver 4 PFLOPS of computing power, supporting deployment of large models with a cost reduction of 50% compared to industry peers and a threefold increase in energy efficiency [4] Group 4: Educational Solutions - Lingbook AI's core product, the MetaSight experimental training model library, aims to address traditional training challenges such as subjective evaluation and delayed feedback [5][6] - The system utilizes cameras and edge computing to monitor and analyze student operations, providing real-time feedback and allowing teachers to focus on personalized guidance [5][6] Group 5: Collaborative Ecosystem - The partnership between Qingwei Intelligent and Lingbook AI aims to create a closed-loop ecosystem of "chip + algorithm + scenario" for sustainable and scalable intelligent solutions in vocational education [7] - The MetaSight model library will be an open platform, initially involving over ten vocational institutions, with plans to integrate more educational and enterprise resources [6][7]