Large Language Models (LLMs) can enhance how we interact with quantitative data, assisting with understanding the data, exploratory analysis, data transformation, and generating structured insights. However, while LLMs can help interpret trends and assist in summarizing numerical datasets, they do have some limitations. This workshop will focus on the role of LLMs (ChatGPT-4o, Perplexity, and Llama 3.3) in handling structured numerical data, identifying their strengths, weaknesses, and best use cases.

By the end of this workshop, you will learn about:

• How LLMs can assist in summarizing, interpreting, and transforming numerical datasets through activities. 
• Using LLMs through activities for exploratory data analysis (EDA)
• Understanding the limitations of LLMs when it comes to data preprocessing
• Best practices for data cleaning and transformation of quantitative datasets using LLM guidance through activities. 

For any questions, please contact the instructors Varun Sayapaneni or David Rankin

Requirements

• Pre-requisites: None
• Software requirements: Browser for interacting with LLM tools: (ChatGPT-4o, Perplexity, Llama 3.3 Large Language Models)
• Registration is: Required
• Minimum registrations for workshop to be hosted is 10. 

Accessibility

• Materials
  • The curriculum is freely available online at: https://osf.io/vcuks/ 
• Format
  • This workshop will be offered in person.
• Scheduling
  • This workshop is not on our regular schedule.
  • This workshop can also be scheduled on request. 
  • We have no scheduled breaks during this one-and-half-hour workshop.
• Food/drinks 
  • Food and drinks are not provided.
  • Food and drinks are allowed in the classroom.
  • Water fountains are available on all floors.
  • Bizzell Memorial Library has a coffee shop on LL1 (hours may vary) and vending machines on LL1, in the hall east of LL118 (the community room).
• Restrooms
  • Gendered restrooms are available on the same floor.
  • Family restrooms are available on the same floor.
• For additional accommodations on the basis of disability, please contact the workshop instructors Varun Sayapaneni or David Rankin.