Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

LLMs Unplugged: Teaching Resources for a ChatGPT World

Loading...
Thumbnail Image

Authors

Swift, Ben

Journal Title

Journal ISSN

Volume Title

Publisher

ACM

Access Statement

Research Projects

Organizational Units

Journal Issue

Abstract

Large Language Models (LLMs) are everywhere, yet many learners lack a concrete mental model of how they generate text. This paper presents LLMs Unplugged, an unplugged set of activities that teaches the training-to-generation loop (and beyond) using hand-built ngram models and simple weighted sampling. Workshops based on these resources have been delivered to over 400 participants across secondary, tertiary, and executive-education contexts, and participants report that the activities demystify LLMs by reframing them as probabilistic "next word generation" at scale. All resources are freely available under a Creative Commons license at www. llmsunplugged.org, with a modular design that supports anything from a one hour crash course to a several-day intensive workshop.

Description

Citation

Source

Book Title

ACE 2026 - Proceedings of the 28th Australasian Computing Education Conference

Entity type

Publication

Access Statement

License Rights

Restricted until

Downloads