张哲：数据帮助解决算法模型落地的最后一公里问题

Core Insights - The AI industry is experiencing significant changes, with a shift from single-modal to multi-modal models and a transition from general to vertical application scenarios [5][6] - The rise of large models has initiated the integration of AI with various industries, highlighting the importance of high-quality data to address the "last mile" problem in algorithm implementation [6][7] Group 1: AI Model Development - AI large models are evolving towards multi-modal capabilities, enhancing their application in specific verticals [5] - The introduction of Chain of Thought (CoT) technology allows models to improve their accuracy and reliability by shifting from "fast thinking" to "slow thinking" [5] Group 2: Data Demand and Market Dynamics - The demand for training data in the AI sector is changing, driven by the need for high-quality data to solve practical implementation challenges [6] - The domestic AI data market in China represents only a small portion of the global market, with significant opportunities abroad [7] Group 3: Company Profile - Haitai Ruisheng, established in 2005, is one of the earliest providers of AI training data solutions in China and is currently the only publicly listed company in this sector [7] - The company has seen substantial growth in its global business, with nearly half of its revenue coming from overseas in the previous year [7]