View Proposal

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Proposer

Michael Lones

Title

LLMs for machine learning

Goal

Description

LLMs - and generative AI more generally - are gradually permeating many fields. However, although they are a product of machine learning, they are not typically used to do machine learning. This project would involve researching how LLMs can be used for machine learning, and practically demonstrating this on one or more machine learning tasks, to understand their benefits and limitations within this domain. It will likely involve using a locally-deployed open source model (e.g. Google's Gemma) and programmatically interacting with this using a language of your choice, though could also be done using a commercial model such as ChatGPT if you already subscribe to one of these.

Resources

Background

Url

Difficulty Level

Variable

Ethical Approval

None

Number Of Students

2

Supervisor

Michael Lones

Keywords

llms, generative ai, machine learning

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Master of Science in Artificial Intelligence
Master of Science in Computer Science for Cyber Security
Master of Science in Computing (2 Years)
Master of Science in Data Science
Master of Science in Network Security
Bachelor of Science in Computer Science (Cyber Security)