Master Thesis, 30 hp: Focused Foundation Level Large Language Models for Edge Applications
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Data Science
In short
Responsibilities
- Explore different methods and technologies to capture the functionality of a large foundation level LLM in a minimal format.
- Train much smaller models to perform specific roles and tasks in specific situations.
- Reduce the model footprint to a few gigabytes while maintaining reliability and depth of knowledge.
- Collaborate with experienced engineers and specialists.
- Work at Saab X Innovation Lab.
Requirements
- Final stage of studies in Computer Engineering, Engineering Physics, Artificial Intelligence or equivalent.
- Interest and experience in AI and Large Language Models.
- Suitable for a 30 hp master’s thesis project.
Desired Qualifications
- Students eager to apply theoretical knowledge and fresh perspectives to real-world challenges.
Benefits
- Opportunity to collaborate with experienced engineers and specialists.
- Gain invaluable practical experience.
- Make a tangible contribution to Saab's growth and development.
- Support and guidance to translate theoretical knowledge into practical solutions.
Skills
About Saab
As a leading defence and security company, we offer solutions that range from the depths of the oceans to high in the sky, on land and in cyberspace, to keep people and society safe. Empowered by our 22,000 talented people, we constantly push the boundaries of technology to create a safer, more sustainable and more equitable world. We design, manufacture and maintain advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. We are headquartered in Sweden and have major operations all over the world and are part of the domestic defence capability of several…
Company
SaabJob Posted
2 minutes ago
Expires
in 1 week
Employment Type
Internship
Work mode
On Site
Experience Level
Student
Locations
Gothenburg, Sweden
Solna, Sweden
Qualification
Applicants
Be an early applicant
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