Course content
This course will provide you with theoretical concepts and practical experience in natural language processing (NLP). The focus is on models and algorithms based on deep learning, including large language models such as ChatGPT.
It is an advantage, but not a requirement, to have knowledge of programming and machine learning, as well as mathematics (especially discrete mathematics, linear algebra, analysis and probability). The programming language Python is used in the course.
Course outline
The course is designed for self-study and consists of video lectures and programming exercises in Python. There are three two-hour video meetings which require mandatory participation. Between these meetings, you can work with the course material at your own pace. You have access to help and feedback through email and one-to-one video meetings with the course teachers.
For more information see https://liu-nlp.ai/ete387/
Information on entry requirements
You must prove that you fulfil the entry requirements when applying for the course. If your grades are not already on your pages at antagning.se, you need to upload them in connection with your application.