LLMs Unplugged: Teaching Resources for a ChatGPT World
| dc.contributor.author | Swift, Ben | en |
| dc.date.accessioned | 2026-05-14T08:42:18Z | |
| dc.date.available | 2026-05-14T08:42:18Z | |
| dc.date.issued | 2026-03-16 | en |
| dc.description.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. | en |
| dc.description.status | Peer-reviewed | en |
| dc.format.extent | 8 | en |
| dc.identifier.isbn | 979-8-4007-2352-0 | en |
| dc.identifier.isbn | 9798400723520 | en |
| dc.identifier.other | Bibtex:swiftLLMsUnpluggedTeaching2026 | en |
| dc.identifier.other | ORCID:/0000-0003-2138-5969/work/214265055 | en |
| dc.identifier.scopus | 105035481364 | en |
| dc.identifier.uri | https://hdl.handle.net/1885/733809092 | |
| dc.language.iso | en | en |
| dc.provenance | This work is licensed under a Creative Commons Attribution 4.0 International License. ACE 2026, Melbourne, VIC, Australia | en |
| dc.publisher | ACM | en |
| dc.relation.ispartof | ACE 2026 - Proceedings of the 28th Australasian Computing Education Conference | en |
| dc.relation.ispartofseries | ACE 2026 - Proceedings of the 28th Australasian Computing Education Conference | en |
| dc.rights | © 2026 Copyright held by the owner/author(s) | en |
| dc.subject | AI literacy | en |
| dc.subject | hands-on learning | en |
| dc.subject | large language models | en |
| dc.subject | n-gram models | en |
| dc.subject | unplugged activities | en |
| dc.title | LLMs Unplugged: Teaching Resources for a ChatGPT World | en |
| dc.type | Conference paper | en |
| dspace.entity.type | Publication | en |
| local.bibliographicCitation.lastpage | 62 | en |
| local.bibliographicCitation.startpage | 55 | en |
| local.contributor.affiliation | Swift, Ben; School of Cybernetics, ANU College of Systems and Society, The Australian National University | en |
| local.identifier.doi | 10.1145/3786228.3786237 | en |
| local.identifier.pure | 477c58ff-379b-4c25-bec8-2e4a0ec5f54a | en |
| local.identifier.url | https://www.scopus.com/pages/publications/105035481364 | en |
| local.type.status | Published | en |
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