The speaker shared the substantial differences between the way AI engineers work and general work. AI engineers need to have data analysis and machine learning skills, and they need to constantly learn and update their knowledge as technology continues to evolve in this field. He also mentioned the concept of lifelong learning, emphasizing the need for continuous learning to keep up with technological changes even after graduation. In addition, how to apply the knowledge learned in school at work is also shared, which emphasizes the connection between academics and practical work, as well as providing practical advice and inspiration for students.

Implemented by Department of Computer Science
Date: 2023/10/25