An Overview of Generative AI and Large Language Models Tutorial & Quiz

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Creator(s) (alphabetical)

Aishwarya Jha, Claire McGuinness, Molly Newell, Páraic Kerrigan, Stefanie Havelka

Organisation(s)

University College Dublin

Discipline(s)

Administration and Law, Arts and Humanities, Business, Education, Information and Communication Technologies, journalism and information, Mathematics and Statistics, Natural Sciences, , Teaching & Learning

Topic(s)

Digital Learning, Open Education, Student Success, Teaching and Learning Practice

License

CC BY-NC-SA

Media Format

Webpage, Website

Date Submitted

Submitted by

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Description

This online tutorial introduces the fundamentals of Generative AI and LLMs, explaining their functionality, capabilities, and limitations. It explores key applications, ethical considerations, and practical examples, providing learners with a foundational understanding of how these technologies impact education and creativity.

Benefit of this resource and how to make the best use of it

This online tutorial offers a clear and accessible introduction to Generative AI and Large Language Models (LLMs), making it an invaluable resource for higher education staff to embed in their modules. It demystifies complex concepts, fosters critical thinking, and highlights practical applications, preparing students to engage thoughtfully with emerging AI technologies.

Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA)

This work is licensed under a CC BY-NC-SA license, allowing sharing and adaptation for non-commercial use with proper attribution, provided derivative works use the same license.

https://creativecommons.org/licenses/by-nc-sa/4.0/
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Jha, A., McGuinness, C., Newell, M., Kerrigan, P., & Havelka, S. (2025). An overview of generative ai and large language models tutorial & quiz. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/an-overview-of-generative-ai-and-large-language-models-tutorial-quiz/ License: Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA).

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Credits
Animation, Backgrounds & Compositing — Arantxa Vara
Animation & Backgrounds — Giada Randolfi
Animation — Zach Louis Ng Nocum
Animation & Backgrounds — Alex
Music composition & production — Darragh Winters

Special thanks
Karima Dillon
Eimhin Mc Namara
Rebecca Roper
The students who shared their experiences

A 1-page guide, co-created by lecturers, tutors & students on DkIT's MA in Learning and Teaching, showing where GenAI can, and can't, support particular postgraduate research/skill development (*reflecting practice 2025-26). Includes student-informed prompts on responsible, sustainable use. An editable PowerPoint supports adaptation to own context.