别再迷信大模型，吴恩达亲授AI秘籍：小模型+边缘计算=财富密码

Core Insights - The key opportunity in AI entrepreneurship lies in developing specialized intelligent agents rather than competing in the race for larger models [1][2][8] - The intelligent agent market is projected to grow from $5.1 billion to $69.1 billion by 2032, indicating a significant growth potential [4] - Entrepreneurs should focus on solving practical, measurable problems in various industries, rather than pursuing general artificial intelligence (AGI) [10][12] Group 1: Intelligent Agents - Intelligent agents break down tasks into smaller, manageable sub-tasks, enhancing execution and adaptability [4] - The advantage of intelligent agents is their specialization, allowing them to outperform expensive standard models in specific domains [8] - The current AI landscape requires entrepreneurs to build trust in their AI applications, as the technology itself is widely accessible [20][23] Group 2: Market Trends - The market for small models is expected to grow from $930 million in 2022 to $5.45 billion by 2032, with edge computing projected to reach $378 billion by 2028 [13][15] - Edge computing enables applications that handle sensitive data locally, enhancing privacy and reducing costs [16][17] - The military applications of AI are emerging as a significant area of investment, creating opportunities for dual-use technologies [26][27] Group 3: Entrepreneurial Strategies - Entrepreneurs should target industries with repetitive, data-intensive tasks that consume significant human resources [12] - Utilizing open-source models can reduce costs and accelerate product development, allowing startups to operate with lower burn rates [12][28] - The focus should be on building reliable and transparent AI systems to maintain a competitive edge in the market [22][23]