Abstract

Generative AI software like ChatGPT is increasingly being used as a versatile tool by users with highly diverse backgrounds. However, a "naive" approach to its use entails a number of pitfalls. These can be avoided if the fundamental principles of these AI algorithms are understood. With this knowledge, users can not only achieve better results when applying the technology but also make more informed decisions about the strategic and practical use of generative AI. This webinar illustrates common misunderstandings that can arise on the part of human users as well as some of the limitations of so-called large AI language models. It explains the principles underlying these misunderstandings and limitations, providing an intuitive understanding of the current state of generative AI tools. While the insights into the core of ChatGPT are universal, the webinar's easy-to-understand examples and use cases focus on technical disciplines and applications.