Explora Phase II Beta Release is now live - Training materials discovery is now available.

Note: all times are shown in the timezone in which each event occurs.

Date: 8 April 2026 @ 12:00 - 13:30

Timezone: Eastern Daylight Time

Language of instruction: English

Most people know cloud-based generative AI tools like ChatGPT, but did you know that the powerful technology behind them, transformer-based Large Language Models (LLMs), can also run directly on a modern laptop?

In this hands-on, in-person workshop, you’ll explore how these AI systems work and learn how to set up and run a basic chatbot locally on your own computer. Gain a foundational understanding of transformer-based LLMs and discover how to harness their power without relying on the cloud.

By the end of this session, participants will be able to:

  • Understand the core principles behind transformer-based large language models
  • Set up and run a basic chatbot AI on a personal laptop
  • Explore practical applications and limitations of locally hosted generative AI

This session is perfect for anyone curious about AI who wants to experiment with running models independently! 

Details: Participants will require a laptop to participate. This workshop will not be recorded.

Facilitator Bio: 

John Fink is the Digital Scholarship Librarian in the Sherman Centre.

Certificate Eligibility: This workshop is eligible for the Sherman Centre's certificate program. For more information, visit scds.ca/certificate-program. It is also eligible for the Canadian Certificate for Digital Humanities. To learn more, visit ccdhhn.ca or contact [email protected].

Credit Eligibility: This workshop counts toward credit for students in the Faculty of Science who are enrolled in SCIENCE 2SF1: Digital Skills Workshop. For any questions, please contact [email protected].

Contact: https://libcal.mcmaster.ca/profile/35518

Keywords: DMDS, DRI Training, SCDS Sponsored Events, Workshops

Venue: Sherman Centre for Digital Scholarship (1st Floor, Mills Library)

Organizer: The Sherman Centre for Digital Scholarship (SCDS)

Target audience: Open (McMaster + Community)


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