This series from the Indiana CTSI aims to educate attendees on leveraging AI basic principles and tools, its ethics to improve productivity, facilitate work processes, and address ethical considerations. The series is open to anyone interested in the topics, with each session lasting one hour and presented in a hybrid format – in person at the Regenstrief Social Hub (capped at 90 participants), or virtual (no limit).

Each session will also be recorded and made available after the event.

____________________________________________________________________________________

January 27, 2026

Presenter: Scott Michael, PhD

Register to attend

This session will focus on the basic principles and tools of AI and how to apply to to a research workflow. The session focuses on generative AI techniques and specifically how to apply large language models (LLMs) to research workflows. We will cover the basics of LLMs; alternatives for interacting with an LLM such as basic chat, IDEs, or APIs; techniques for LLM specialization such as model fine tuning and retrieval augmentation generation (RAG); foundational vs. specialized generational models; federated learning; and data sensitivity considerations when working with LLMs.