Transforming Your Research with Generative AI – Tutorials

MIDAS and the Michigan AI Laboratory will jointly offer a training series to researchers across research fields as they start incorporating Generative AI in their research. Each will consist of lectures, demonstrations, and hands-on tutorials for using Generative AI in research.

Writing, Planning and Literature Review: Enhancing Professional Productivity with Generative AI

Monday October 2, 2023, 9:00 AM – 12:00 PM

Johnson Rooms (3rd Floor), Lurie Engineering Center, 1221 Beal Avenue, Ann Arbor

Prerequisite: none.

9:00 AM: Ethical Considerations for Using Generative AI in Research – Dr. H. V. Jagadish, Edgar F Codd Distinguished University Professor of Electrical Engineering and Computer Science, Bernard A Galler Collegiate Professor of Electrical Engineering and Computer Science, Professor of Electrical Engineering and Computer Science, College of Engineering; Director of the Michigan Institute for Data Science

10:30 AM: Tutorial: Using Generative AI to Enhance Research Workflows – Dr. James Boyko, Schmidt AI in Science Postdoctoral Fellow, Michigan Institute for Data Science

Code Smarter, Not Harder: Harnessing Generative AI for Research Programming Efficiency

Wednesday, October 18, 2023, 9:30 AM – 12:00 PM

10th Floor, Weiser Hall, 500 Church Street, Ann Arbor

Prerequisites: Some coding experience.

Using Generative AI to Enhance Coding in Research – Dr. Sindhu Kutty, Lecturer IV in Electrical Engineering and Computer Science, College of Engineering

Tutorial: Using Generative AI to Improve Your Code (focusing on Python but applicable to other languages too) – Dr. Qiyuan Zhao, Research Fellow, Medicinal Chemistry, College of Pharmacy

Integrating Generative Image AI into Your Research Workflow

Wednesday, October 27, 2023, 9:00 AM – 11:30 AM

10th Floor, Weiser Hall, 500 Church Street, Ann Arbor

Prerequisites: Some Machine Learning experience.

Generative Image Models in Research – Dr. Jeong Joon Park, Assistant Professor of Electrical Engineering and Computer Science, College of Engineering

Tutorial: Generative Adversarial Networks (GANs) – Anthony Carreon, Graduate Student Research Assistant, Aerospace Engineering, College of Engineering

Making Generative AI Better for You: Fine-tuning and Experimentation for Custom Research Solutions

Wednesday, November 29, 2023, 2:30 PM – 4:30 PM

10th Floor, Weiser Hall, 500 Church Street, Ann Arbor

Prerequisites: Some Machine Learning experience.

Customizing and Fine Tuning Large Language Models (LLMs) – Dr. Joyce Chai, Professor of Electrical Engineering and Computer Science, College of Engineering; MIDAS Associate Director

Tutorial: Fine-tuning LLMS – Shane Storks, Graduate Student Research Assistant, Computer Science and Engineering, College of Engineering