The Second Draft Alumni Lab: Large Language Model Powered Chatbots led by Professor Dhrumil Mehta
CJS is excited to announce the launch of the Second Draft Alumni Lab!
Starting in April, this exclusive series of 60-minute online workshops will equip you with the latest AI tools and techniques to enhance your storytelling.
What to Expect:
- Expert Insights: Learn from industry leaders and AI experts.
- Hands-on Training: Get practical experience with AI tools.
- Q&A Sessions: Ask questions and engage with fellow alumni.
- Global Accessibility: Zoom Webinar, noon EDT
Don't miss this opportunity to stay ahead of the curve and future-proof your journalism career.
April 16, 2024 | 12:00pm - 1:00pm ET
Large language models are known to make up facts -- a phenomenon that has come to be known as "hallucination" -- which makes them difficult to effectively use for many journalistic tasks. But with the right guardrails, journalists can use them to analyze data quickly without sacrificing accuracy. In this session we will learn how to get large language models to produce code that will analyze and visualize data for us and then we'll talk about how we can design new editorial processes to ensure that this kind of analysis is correct and usable in a news context.
Dhrumil Mehta is Associate Professor in Data Journalism and Deputy Director of the Tow Center for Digital Journalism at Columbia University. Previously, he was a data journalist at FiveThirtyEight where he analyzed data on topics ranging from COVID-19 to the Black Lives Matter movement.
Mehta has produced innovative data-driven projects, including an interactive quiz on gun policy and research on Hurricane Maria media coverage. He has also developed data resources and taught data journalism and data science at Columbia and Harvard.
Mehta holds a master's in computer science and a bachelor's in philosophy from Northwestern University.
Register here.
For questions, contact the Office of Alumni Relations at [email protected].