This position is offered through the ANU Computing Internship ([COMP4820] / [COMP8830])
Company
Penten (Applied AI) https://www.penten.com/
Penten leverages AI-driven solutions to enhance cyber defence. Active Cyber Defence protects critical infrastructure, Electronic Deception disrupts adversaries, and Cyber Training prepares organisations with realistic simulations, all ensuring robust protection and strategic advantage against digital threats.
Project
Offline Models to Generate Text and Images
The primary objective of this project is to understand the capabilities and limitations of offline text and image generation models and to provide actionable implementation recommendations.
There is a requirement to generate realistic fake artefacts in a way that is scalable and efficient. In some circumstances, using online text and image generation is not feasible and offline models are required. Offline models face several challenges, primarily related to limited computational resources, data access, and real-time constraints.
This project focuses on comparing various AI offline models and providing recommendations on the optimisation of each model across diverse scenarios.
Research considerations:
- The capabilities and trade-offs of each model (eg. realism, performance, response time & cost).
- The local processing resources (e,g CPU or GPU) and storage requirements.
- The prompt engineering required to generate realistic text and images.
- Prompt engineering vs. fine tuning
Required/Preferred technical skills
Programming experience (preferably Python), LLMs, Linux
Required/preferred professional and other skills
Ability to collaborate, work independently towards a goal
Special Requirements
• Intern requires Australian citizenship
Delivery Mode
• In-Person Internship
Type of internship
Paid internship. The intern/s will be engaged as a casual employee.
How to apply
Applications are invited from students who have already passed the eligibility checks for the Computing Internship courses COMP4820 or COMP8830. Further information about the Computing Internships can be found on the Computing Internship page.
You can nominate multiple preferred Internship projects and host organisations through the one application form.
Student applications will be open from the 13th to 29th Sep, 2024.