Generative AI, particularly Large Language Models (LLMs), has been instrumental in the implementation of enabling quicker insights, accurate predictions, and compelling visual presentations. This workshop explores practical applications of Generative AI (such as ChatGPT, Gemini) in the context of data analytics and visualization, offering attendees hands-on experience through interactive demonstrations and highlighting best practices.

Workshop Objectives:

• Explore practical uses of Generative AI for data analytics and visualization.
• Identify key strengths and limitations of Generative AI when working with data.
• Gain practical experience with interactive examples and demonstrations.

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

Requirements

• Pre-requisites: None
• Software requirements: A browser to interact with Generative AI.
• Large Language Models: ChatGPT-4 and Llama 3.3 (or any other state-of-the-art language models)
• Registration is: Required. 
• Minimum registrations for workshop to be hosted is 10. 

Accessibility

Materials

The curriculum is freely available online: https://osf.io/h57g8/ 

Format

This workshop will be offered in person.

Scheduling

This workshop is currently not on our regular schedule but can be scheduled on request.
We have no scheduled breaks during this one-and-a-half-hour workshop.

Captioning

Automatic captioning is not provided by default.

Food/Drinks

Food and drinks are not provided but 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 instructor Varun Sayapaneni or David Rankin