Subject description
In this subject, students delve into the world of Generative AI. They explore the foundational principles and practical applications of this cutting-edge field. Through a blend of theory and hands-on experience, students gain insights into how Generative AI empowers artificial intelligence to create original content - ranging from text and … For more content click the Read More button below.
Delivery
To view information specific to your campus, click on Select availability in the top right of screen and choose from the campus, delivery mode and session options.
Teaching staff
Subject coordinators
Learning outcomes
On successful completion of this subject, students will be able to:
1.
Demonstrate an understanding of the foundations of Generative AI and its practical applications in text generation, image generation and assisted coding.
2.
Apply effective prompt engineering for various tasks.
3.
Demonstrate an understanding of techniques to enhance model performance, such as fine-tuning, retrieval augmented generation and reinforcement learning using human feedback.
4.
Identify the impact of Generative AI for industry and employ effective strategies to incorporate Generative AI.
5.
Understand ethical and responsible use of Generative AI.
Assessment details
Assignment
Assignment
Final Exam
Work integrated learning
Embedded WIL:This subject contains elements of "Embedded WIL". Students in this subject will experience activities that relate to or simulate professional practice as part of their learning.
Textbook information
Foster, D. (2023). Generative deep learning: teaching machines to paint, write, compose, and play. O’Reilly Media, Inc.