Overview
Fine-tuning has become a popular approach to adapting large foundational models to specific tasks. As the size of models and datasets grows, parameter-efficient fine-tuning techniques are increasingly important. One of the most widely used methods is Low-Rank Adaptation (LoRA), with adaptation update expressed as the product of two low-rank matrices.
While LoRA was shown to possess strong performance in fine-tuning, it often under-performs when compared to full-parameter fine-tuning (FPFT). Although many variants of LoRA have been extensively studied empirically, their theoretical optimization analysis is heavily under-explored. Discover more with this Fine-Tuning of Foundation Models via Low-Rank Adaptation and Beyond (Internship) project at King Abdullah University of Science and Technology (KAUST) .
Recommended Student Background
- Machine Learning
- AI
- Computer Science
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Visit programme websiteProgramme Structure
The goals of this project:
- Propose and evaluate (e.g., theoretically or empirically analyze) new fine-tuning methods, improving upon LoRA and other recently proposed FPFT methods
- Write a paper describing the new results, and submit it to a leading AI/ML conference, such as NeurIPS, ICML or ICLR
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 3 months
Start dates & application deadlines
- Application deadline: all year around
Language
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Delivered
Campus Location
- Thuwal, Saudi Arabia
Disciplines
Mathematics Computer Sciences Machine Learning View 61 other Short Courses in Computer Sciences in Saudi ArabiaExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- Undergraduate students in 3rd year or above and master’s students.
- Minimum GPA: 3.5/4
- Curriculum Vitae (CV)
- Statement of purpose
- Contact details of 3 referees
- Official English language test score
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Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
Domestic Applies to you
Applies to youCitizens or residentsFree
Additional Details
- This is a fully-funded internship; it includes tuition, airfare, housing, medical insurance, visa reimbursement and a monthly stipend of $1,000.
Living costs
Thuwal
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.