Instructors: Zifu Wang and Devika Jain
Description: This 2-hour interactive workshop introduces participants to the practical use of Large Language Models (LLMs) for text classification tasks using real-world geotagged Twitter data. Participants will learn how to leverage Python and the LM studio to interact with advanced AI models such as Gemini, gaining foundational experience in calling Open AI APIs, designing effective prompts, and integrating LLMs into data workflows.
Through guided, hands-on exercises, attendees will explore how LLMs can be applied to classify and interpret geotagged social media data, uncovering patterns and insights from location-based text. The session will cover essential steps including dataset preparation, prompt design, model interaction, and result analysis. By the end of the workshop, participants will have developed a working understanding of how to apply LLMs for geospatial text analytics and will be equipped with transferable skills for building their own Gen AI-driven data projects.
This workshop is free for Harvard affiliates with a valid Harvard ID, and is $100 for others.
Registration for this workshop is full. We plan to offer it again in Fall of 2026.
LOCATION:1737 Cambridge St. Cambridge, MA. CGIS Knafel Building. Room SB-12 in the sub-basement. STATUS:CONFIRMED DTSTART:20260410T170000Z DTEND:20260410T190000Z END:VEVENT END:VCALENDAR