At the recent 3rd China AIGC Industry Summit, Fenbi AI received two prestigious awards: "2025 AIGC Company Worth Watching" and "2025 AIGC Product Worth Watching," reflecting its outstanding contributions to vocational education. The summit, hosted by QuantumBit, focused on the theme "Everything is AI," attracting numerous experts and professionals from the technology and education sectors.
Fenbi's CTO, Jianhua Chen, delivered a speech titled "Reshaping and Practicing Intelligent Education: The Path to Implementing Large Models." He delved into the applications of large language models in education, showcasing how Fenbi utilizes AI to innovate learning models and pave the way for a new "AI+" approach in vocational education. The widespread application of large models sparked significant interest among attendees regarding the practical applications and future trends of AI in education.
Fenbi has launched several AI products, including Fenbi AI Teacher, AI Premium Interview Review, and AI Practice System Class, catering to different needs such as high-frequency learning, essential practice, and systematic improvement. These products have successfully achieved commercial operation. Chen pointed out the long-standing "difficult triangle" in education: achieving large scale, high quality, and personalization simultaneously has been challenging. However, the advent of large models offers the potential to break this deadlock and unlock new possibilities for education.
Sharing Fenbi's product development journey, Chen highlighted the crucial role of AI, which has undergone three stages of exploration. In the first stage, Fenbi applied AI in limited scenarios, addressing problem analysis and teacher feedback, significantly improving teacher efficiency. The second stage, starting in July 2024, saw the launch of Fenbi AI Teacher, marking a transition to systematic and multi-scenario AI integration. During this phase, Fenbi's in-depth research into knowledge bases and teaching methods effectively reduced the probability of AI errors.
Finally, Fenbi launched the "AI Practice System Class," providing personalized learning plans and emphasizing student autonomy and exploration. By continuously addressing user pain points, Fenbi refines its technology, creating a positive feedback loop. Chen stressed that Fenbi will continue to deepen personalized teaching through practice, striving to build more interactive AI teacher models, pushing education from "intelligentization" to "wisdomization," and realizing a future learning approach centered on human needs.
