【Activity Report】“Theory and Implementation of Generative AI” Workshop Held

Lecturer in charge: Ryo Muramatsu (First year, Faculty of Environment and Information Studies, SFC)

A two-day workshop, “Theory and Implementation of Generative AI,” was held from August 1 to 2, 2024, as part of the AIC Summer Intensive Course.
Generative AI is garnering much attention globally, especially when it comes to large-scale language models. Students’ interest in generative AI is growing as its use is becoming increasingly commonplace in our everyday lives rather than being limited to corporations and research institutions. In light of this, we planned this workshop in response to the demand from students who are interested in learning about the operating principles and implementation of generative AI.

In this workshop, we delved into “Diffusion Models,” a rapidly developing technology, especially in the field of image generation. Participants learned the basics of generative AI through explanations on theory using mathematical formulas and practical implementation using Python. It was no small feat to cover advanced topics such as the Gaussian Mixture Model and Expectation–Maximization algorithms, which heavily involve mathematical formulas, in the limited span of two days. Nevertheless, participants remained focused to the end and successfully completed the workshop.
At the end of the workshop, participants were able to reap the fruits of their labor as they put what they had learned in theory into practice by running the image generation AI they had coded on a computer.
Given that generative AI is a field that is expected to undergo further advancement in the future, we believe that this workshop has imparted important foundational skills. We hope that all participants will leverage the knowledge and skills gained from this workshop in their future studies and research, and grow from the experience.