FENBI Accelerates AI Product Commercialization with Launch of AI Exam Prep Classes for Public Institution Tests

Deep News
Aug 26

FENBI has recently launched its new AI exam prep class product specifically designed for public institution examinations, marking a significant advancement in the company's AI product portfolio within the vocational education sector. The product is built on FENBI's proprietary vertical domain AI large model and establishes a comprehensive "test-learn-practice-exam" closed-loop learning system, emphasizing personalized learning paths that are deeply adapted to exam preparation needs.

Liu Zifeng, project director for FENBI's public institution division, stated: "Public institution exam candidates represent a diverse group facing complex and ever-changing exam conditions with unique content requirements. These distinctive characteristics make generic preparation solutions ineffective, necessitating specialized solutions. FENBI's AI exam prep class is specifically designed to address this need."

The "AI Exam Prep Class" has emerged as FENBI's new flagship product following its system classes. FENBI's first AI exam prep class launched in April this year and has demonstrated impressive market performance. According to company data, as of June 30, the AI exam prep system class had sold approximately 50,000 enrollments, generating revenue of approximately 20 million yuan.

Leveraging FENBI's self-developed vertical domain large model, the public institution AI exam prep class achieves scientific planning by accurately assessing individual user learning conditions, intelligently identifying weak areas and improvement opportunities. The AI system recommends customized learning content based on assessment results, latest educational research, and exam trend analysis, eliminating blind study approaches.

Through subject capability radar charts, FENBI's public institution AI exam prep class generates personalized preparation paths for users, matching optimal study plans and preparation strategies. The system creates tailored daily learning schedules and dynamically adjusts based on real-time performance, rapidly optimizing subsequent preparation plans to achieve precise exam preparation.

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