Description:

The rapid advancement in Large Language Models has led to a proliferation of model options. It can be daunting to sort through variations in model creators, versions, sizes, and resource requirements. Fear not – we have you covered. This workshop will walk you through the basics of how to choose a model for your project, including aspects such as what type of data you can give to the model, how many words and other characters you can input, and which tasks the model is optimized for.

Prerequisites: Some familiarity with Python and machine learning will be useful for this workshop, but you don’t need to be an expert in either.

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.