Developing and running a reasoning model-powered web app on Google Colab: A technical teaching case to demystify generative AI

Abstract

Generative Artificial Intelligence (AI) is transforming the economy, labor market, and society. Given the importance of generative AI, Information Systems (IS) faculties need to teach students the fundamental technical concepts of generative AI so that they can have a deeper understanding. This study proposes a technical teaching case of developing and running a reasoning model-powered web app on Google Colab. This paper contributes to the IS education discipline in three areas. First, it demystifies generative AI by presenting the behind-scenes code that powers AI. Second, it introduces reasoning models and explains their behavior. Third, the case can be used as a comprehensive technical introduction to generative AI because it discusses many essential concepts, principles, techniques, and best practices of generative AI.