Master Thesis Large Language Models

Job description

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure 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. 

 

 

Thesis Proposal

 

This master thesis is suitable for one student who is completing their studies in computer science or electrical engineering. The thesis will be led by Volvo Construction Equipment, Eskilstuna, Sweden. Desired start date is  December 2024.

 

Background

Volvo Construction Equipment (VCE) is one of the world's largest manufacturers of construction equipment. With enhancing the artificial intelligence area and learning-based approaches, there is a big trend for using Large Language Models (1) for analyzing documents. To maintain a leading position, it is essential for Volvo CE to develop innovative and cost-efficient solutions for delivering AI models that learn from data and answer related questions. 

 

Project Summary

The advent of LLMs has revolutionized natural language processing, offering unprecedented capabilities in understanding and generating human language. This thesis aims to explore the application of LLMs in document analysis, focusing on extracting, classifying, and summarizing information from diverse document formats. By leveraging the contextual understanding of LLMs, the research will address the challenges of dealing with unstructured data, such as research papers and reports, and propose methodologies to improve the accuracy and efficiency of information retrieval. The outcome will provide insights into how LLMs can enhance automated document processing systems across various industries.

 

The main activities are :

 

·  Literature Review: Conduct an in-depth review of existing methods in document analysis, focusing on LLM-based methods.
·  Data Collection and Preprocessing: Gather a diverse dataset of documents and preprocess them for input into LLM-based models, ensuring coverage of multiple formats and content types.
·  Model Training and Evaluation: Fine-tune state-of-the-art LLMs on the collected dataset and evaluate their performance in document classification, summarization, and information extraction tasks.
·  Implementation and Optimization: Develop a framework for real-world document analysis applications, optimizing the model for speed, accuracy, and scalability across different domains.

 

A full report of the work carried out will be prepared and presented to staff at Volvo CE. It will be required for the students to perform the thesis at Volvo CE facilities in Eskilstuna.

 

Contacts

The Volvo supervisor for this thesis project is:
 
·  Mohammad Loni
·  Future Solutions Department, Volvo Construction Equipment, Eskilstuna, Sweden
·  Email: mohammad.loni@volvo.com                                      

 

Last application date will be 30th of November 2024.

 

References

[1] Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., ... & Wen, J. R. (2023). A survey of large language models.  arXiv preprint arXiv:2303.18223 .

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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. 

 

Part of Volvo Group, Volvo Construction Equipment is a global company driven by our purpose to build the world we want to live in. Together we develop and deliver solutions for a cleaner, smarter, and more connected world. By unleashing everyone’s full potential, we build a more sustainable future for all our stakeholders. Come join our team and help us build a better tomorrow. 

Job Category:  Technology Engineering

Organization:  Volvo Construction Equipment

Travel Required:  No Travel Required

Requisition ID:  14438