Princeton CDH hosts hands-on workshop on LLM 'reasoning'
TL;DR
- NYU's Leif Weatherby, founding director of the Digital Theory Lab, leads the October 5 session from 12:00 to 1:30 p.m. in Simpson B60.
- Participants run a small language model locally on their own machines; no prior coding experience is required.
- The workshop frames the topic as 'context and rules in modern models,' not just next-token prediction.
Princeton's Center for Digital Humanities is hosting a lunchtime workshop on October 5 in which participants set up a small language model on their own laptops and examine how contemporary systems are trained to 'reason.' The session runs from 12:00 to 1:30 p.m. in Simpson B60 and is led by Leif Weatherby, founding director of the Digital Theory Lab and professor of German at New York University.
The event page describes the format as 'a simple tutorial run locally on participants' machines,' framed around what the organizers call 'not just next token prediction, but instead a more open-ended exploration of context and rules in modern models.' No prior coding experience is required.
Weatherby is at Princeton for a run of linked events on AI, models, and metaphysics through October 8. The workshop is co-sponsored by the Center for Digital Humanities, Data and Intelligent Systems, and the Humanities Initiative.
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Join @leifw.bsky.social also on 10/5 for a workshop that will guide participants through the basics of an LLM setup and the specific way that models are trained to "reason." @princetonainews.bsky.social
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Originally reported by cdh.princeton.edu
Read the original article →Original headline: Can LLMs Reason? A Hands-On Exploration