Large Language Models and Societal Consequences of Artificial Intelligence
Course, Master's level, 1RT730
Autumn 2024 Autumn 2024, Uppsala, 33%, On-campus, English
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 September 2024–3 November 2024
- Language of instruction
- English
- Entry requirements
-
120 credits including Probability and Statistics, Linear Algebra, Single Variable Calculus and a course in introductory programming. Statistical Machine Learning. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Selection
-
Higher education credits in science and engineering (maximum 240 credits)
- Application deadline
- 15 April 2024
- Application code
- UU-11800
Admitted or on the waiting list?
- Registration period
- 26 July 2024–2 September 2024
- Information on registration from the department
Autumn 2025 Autumn 2025, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 1 September 2025–2 November 2025
- Language of instruction
- English
- Entry requirements
-
120 credits including Probability and Statistics, Linear Algebra, Single Variable Calculus and a course in introductory programming. Statistical Machine Learning. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 April 2025
- Application code
- UU-11800
Admitted or on the waiting list?
- Registration period
- 25 July 2025–7 September 2025
- Information on registration from the department
About the course
This course gives an overview of large language models and other machine-learning models that have applications in society. We learn how these methods work and how to apply these models. The course also covers the technical knowledge needed for using large language models, in particular, prompting, embeddings and fine-tuning.
Reading list
No reading list found.