Description:

Large Language Models (LLMs) offer new ways to advance your research. However, the quality and efficiency of this interaction often strongly depends on the prompts you provide to the LLM. In this workshop we will cover tips, strategies, and best practices for engineering your prompts to maximize your research and coding productivity.

Prerequisites: None.

The Artificial Intelligence for Research (AIR) workshop series provides practical advice and examples on how to effectively and securely utilize AI in your research. From writing code to training Large Language Models (LLMs), our Data Scientists will walk you through the tools and tips you'll need.

This workshop series complements our other data science services and support for researchers. All Northwestern researchers (student, staff, and faculty in all fields) can request free consultations with our Data Scientists and Statisticians to guide you through your data project, from considering the feasibility and choosing a method to troubleshooting the code and suggesting improvements. If you're looking for more extensive support, we partner on faculty-sponsored research through our project collaboration service.