Foundation Models

Course manual 2024/2025

Objectives

• Acquire knowledge of foundation models, current theories and the core machine learning techniques to train, adapt and deploy them at scale.
• Valuing ongoing research, challenges and debates on foundation models from both a technological and societal perspective.
• Probe, experiment and evaluate foundation models to understand their abilities and limitations for a variety of downstream tasks, also beyond vision and language.
• Reading, reviewing and presenting state-of-the-art scientific papers on foundation models.
• Identify gaps in current knowledge of foundation models and define a research project to study the gap.
• Writing a scientific paper about a research project and submit it to an academic venue.

Learning activities

Attendance

This programme does not have requirements concerning attendance (OER part B).

Assessment

Fraud and plagiarism

The 'Regulations governing fraud and plagiarism for UvA students' applies to this course. This will be monitored carefully. Upon suspicion of fraud or plagiarism the Examinations Board of the programme will be informed. For the 'Regulations governing fraud and plagiarism for UvA students' see: www.student.uva.nl

Course structure

Contact information

Coordinator

• prof. dr. C.G.M. Snoek