Master thesis - Fine tuning an LLM for tactical decision making in L3 autonomous trucks

Job description

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match. 

Description

The development of autonomous driving systems is at the forefront of improving safety, efficiency, and cost-effectiveness in transportation. With the advancement of large language models (LLMs), their ability to process and understand complex instructions has opened new possibilities for their application in the domain of autonomous vehicle control. The main goal of the thesis is to fine-tune an LLM such as Llama 3.1 for high-level tactical decision making in L3 autonomous trucks. The project will use supervised fine-tuning methods by generating instruction datasets that focus on basic truck driving instructions and optionally extend it to advanced driving behaviors that emphasize best practices on road and minimizing the total cost of operation.  

 

The main objectives of this thesis are: 

 

· 
Instruction Dataset Generation: Generate datasets of driving instructions for autonomous truck driving, ranging from basic operational tasks to best practices and efficiency-focused behaviors. 

· 
Fine-Tuning an LLM: Use the generated datasets to fine-tune an LLM enhancing its ability to make informed decisions in traffic scenarios. After training with each dataset, evaluate whether the model pass/fail remembering the objectives from the previous one. 

· 
Evaluation and Testing: Evaluate the fine-tuned LLM's performance in simulation environments, measuring safety, driving efficiency, and responsiveness to changing traffic conditions.  

 

 

Who are you

The project will use advanced machine learning methods to solve problems within autonomous driving. The work will include programming, machine learning and vehicle simulation, so an interest in these technologies is important.

 

The thesis is recommended for two students with a strong background in data science, machine learning and Python. The work will be carried out at Volvo Group Trucks Technology, Göteborg, Sweden, with a start date in January 2025. The thesis work is 30 higher education credits (ECTS).

Contact Persons

If you have any questions regarding this thesis project. please do not hesitate to contact us.

 

Deepthi Pathare – PhD Student, Volvo GTT 

Mail:  deepthi.pathare@volvo.com   

 

Leo Laine – Volvo GTT 

Mail: leo.laine@volvo.com  

 

If this sounds interesting, send in your CV and transcript (grades) via the web portal before the 27th of October.

 

We value your data privacy and therefore do not accept applications via mail. 

 

Who we are and what we believe in 
Our focus on Inclusion, Diversity, and Equity allows each of us the opportunity to bring our full authentic self to work and thrive by providing a safe and supportive environment, free of harassment and discrimination. We are committed to removing the barriers to entry, which is why we ask that even if you feel you may not meet every qualification on the job description, please apply and let us decide.

 

Applying to this job offers you the opportunity to join Volvo Group . Every day, across the globe, our trucks, buses, engines, construction equipment, financial services, and solutions make modern life possible. We are almost 100,000 people empowered to shape the future landscape of efficient, safe and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents with sharp minds and passion across the group’s leading brands and entities. 

 

Group Trucks Technology are seeking talents to help design sustainable transportation solutions for the future. As part of our team, you’ll help us by engineering exciting next-gen technologies and contribute to projects that determine new, sustainable solutions. Bring your love of developing systems, working collaboratively, and your advanced skills to a place where you can make an impact. Join our design shift that leaves society in good shape for the next generation.

Job Category:  Engineering

Organization:  Group Trucks Technology

Travel Required:  No Travel Required

Requisition ID:  10125