Core Viewpoint - The article discusses the launch of the new AI-based exam preparation system by Fenbi, highlighting its innovative features and the underlying technology that enhances the learning experience for students preparing for public examinations [6][18]. Group 1: AI Teacher Upgrade - Fenbi's AI Teacher 2.0 introduces "heuristic Q&A interaction," which encourages students to think critically rather than providing direct answers, enhancing their understanding and retention of knowledge [9][12]. - The AI system analyzes students' learning behaviors to create personalized study plans, optimizing their preparation process by focusing on their weaknesses [9][12]. Group 2: Gamification of Learning - The new system incorporates gamification elements, transforming the study process into an engaging experience similar to a game, which increases motivation and enjoyment in learning [12][18]. - The interactive nature of the AI allows for immediate feedback and guidance, creating a smooth learning loop that enhances efficiency [12][18]. Group 3: Technical Foundation - The core technology behind the system is Fenbi's proprietary domain-specific model, PRO, which has been tailored for vocational education and has shown superior performance compared to general-purpose models in key examination subjects [14][15]. - Internal performance metrics indicate that Fenbi's model outperforms competitors in various cognitive tasks relevant to public examinations, demonstrating its specialized understanding of the subject matter [15][16]. Group 4: Business Model and Financial Performance - Fenbi's AI product matrix includes various services that cater to different learning needs, allowing for diverse revenue models such as subscriptions and pay-per-use [18]. - In 2024, Fenbi reported revenues of 2.79 billion yuan and a net profit of 240 million yuan, reflecting a 27% year-on-year growth, showcasing the successful monetization of its AI-driven educational strategies [18]. Group 5: Future Implications - The introduction of the AI exam preparation system signifies a shift in learning paradigms, addressing inefficiencies in traditional study methods and offering personalized, engaging solutions [20]. - The competitive landscape in vocational education is expected to increasingly rely on AI capabilities and data assets, positioning Fenbi favorably for future growth [20].