AI Chatbots as Research Assistants: Smarter Prompts, Better Outcomes
A Hands-On Course on Using Chatbots
to Enhance Research Productivity
How can you get a large language model to summarize a 50-page research paper into a clear, concise abstract without losing key details? How do you make chatbots structure a literature review, extract key findings, or even format citations correctly?
In this short course, we’ll explore how prompt engineering helps researchers guide AI to produce high-quality, reliable outputs. You’ll learn:
How language models work
How to craft precise prompts
How to structure AI-driven information retrieval
Whether you’re drafting papers, preparing presentations, writing grants, extracting structured insights from large documents or just trying to get chatbots to stop bamboozling you with long and boring responses, mastering prompt engineering will give you the control you need to make AI work for you.
Wednesday, May 28 — Friday, May 30
9 a.m. - 11 a.m. CT
Alkek N104, Baylor College of Medicine Main Campus
Also available via Zoom
About the Course
The workshop will be offered in two-hour, practical hands-on sessions. A proof of completion (informal certificate) will be available for those who complete short assignments and a written exercise. Participants can attend either in person or via the Zoom session.
About the Speaker
Dr. Blaz Zupan is a professor of AI and machine learning at the University of Ljubljana, Slovenia and a visiting faculty member in the Huffington Department of Education, Innovation & Technology at Baylor College of Medicine. In Ljubljana, he leads a bioinformatics lab developing Orange, a widely used open-source data mining toolbox. An expert in explainable AI and data visualization, he has conducted 150+ hands-on workshops on AI, data science and machine learning.