Master Thesis: Benchmarking LLM Models for Geometry Assurance Tasks
Technology, Data & Digital · Software & Web Development · Software Engineering · Artificial Intelligence
In short
This Master's thesis project involves benchmarking Large Language Models (LLMs) for geometry assurance tasks within AI engineering agents. You will compare different models on performance, cost, and reliability, developing a framework for selecting optimal LLM, software, and hardware combinations.
Responsibilities
- Explore how different LLMs can be used to build efficient and cost-effective AI agents for geometry assurance tasks.
- Compare models based on their task performance, reasoning quality, reliability, and cost.
- Investigate how different software frameworks and hardware affect overall performance and efficiency.
- Develop a benchmarking framework.
- Provide recommendations for choosing the best combination of LLM, software, and hardware for future AI agents.
Requirements
- Two or more core skills: Good Python programming skills
- Basic understanding of LLMs and Agentic AI
- Basic understanding of mechanical engineering and geometry assurance
- An experimental and analytical mindset
- The thesis project is intended for 2 students, 30 ECTS each.
Desired Qualifications
- Experience with local LLM deployment is a plus.
- Experience with high performance computing is a plus.
- Experience with cloud platforms is a plus.
Benefits
- Opportunity to shape sustainable transport and infrastructure solutions for the future.
- Work with next-gen technologies and collaborative teams.
- Gain experience in agentic AI, LLMs, and mechanical design.
- Work on a 30 ECTS thesis project.
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Company
Volvo Group
Job Posted
3 days ago
Employment Type
Internship
WorkMode
On Site
Experience Level
Student
Locations
Göteborg, Sweden
Qualification
Bachelor
Applicants
Be an early applicant