Large Language Models and Applications

Postgraduate | 2026

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Area/Catalogue
COMP 6012
Course ID icon
Course ID
201689
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This course aims to provide an in-depth exploration of large language models (LLMs), emphasising the advanced principles of their architecture, development, and deployment. Students will engage with the intricacies of LLM training and benchmarking while critically analysing their potential and limitations in various real-world applications. A significant focus will be placed on the ethical, legal, and societal implications of LLMs, ensuring that students not only develop technical proficiency but also cultivate a responsible approach to their use in industry and academia.

Course learning outcomes

  • Understand and describe the core principles behind LLMs, including their architectures, data sources, training pipelines, and benchmarking methodologies
  • Develop and apply techniques for the training, fine-tuning, and deployment of LLMs, addressing real-world computational challenges and performance evaluation
  • Evaluate and design innovative applications of LLMs across different domains, considering their capabilities, limitations, and emerging trends
  • Critically assess the ethical, legal, and societal implications of LLMs, and design strategies for mitigating biases and ensuring responsible deployment
  • Critically assess the limitations, risks, and future trends of LLM technologies, and propose innovative solutions for enhancing their ethical, societal, and technical impacts

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A