RESCHEDULED--Text, Transformers, and Large Language Models -- Using AI to get things done in the modern world

Following a long line of socially transformative technologies, Artificial Intelligence has become the latest technology to revolutionize our world — and nowhere more noticeably in the last few years than with its ability to fluently interact with text data.

With the public launch of ChatGPT in November 2022, the world became instantly aware of the idea that computers could understand language and text in a way that could be broadly applied and used by everyone. In this wintersession we will take a deeper look at the ideas that allow these models that interact so well with text, and give an overview of the many different models and tools that are now widely available.

The session will be held in three parts:
1. What are Large Language Models (LLMs)?
2. What ideas and data are used to create them?
3. How can we evaluate and use them in daily life?
and will be accessible to people interested in LLMs (e.g. for fun / chatting) as well as those who know a little about neural networks and want a better understanding of what goes on in these models.

Takeaways from this session should include a better understanding of
• how to use LLMs and related tools to help with daily tasks.
• advantages / disadvantages of using different Large Language Models (LLMs).
• what goes on "under the hood" as we're talking with LLMs, and related ideas in text processing / neural networks.

Looking forward to seeing you there!
Boxed Lunch Provided

About the speaker:
Jonathan Hanke, Visiting Fellow in Statistics and Machine Learning
Jonathan began his career as a mathematician studying Number Theory with a focus on computations and algorithms to solve concrete problems. He has contributed packages to the SAGE open-source computer algebra system, held academic positions at Rutgers, Princeton, Duke, and the Max-Plank Institute in Bonn, taught at the Metis Data Science Bootcamp in NYC, and for several years taught a Princeton Freshman Seminar on "Secrecy, Search, and Society" on Cryptography and Data Policy. For the last 10+ years he has worked in the Financial Services industry and Data Science, and he currently teaches the SML312 class "Research Projects in Data Science" to share his passion for this ever-changing and fascinating subject!


To request accommodations for this event, please contact the workshop or event facilitator at least 3 working days prior to the event.

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