Course Description
In the present course, the student will learn how to build machine learning models for language processing (NLP), understanding, and generation. A large part of the course is based on the recent advances in transformer language models and their generalization abilities beyond NLP. After completion of the present course, the student will be able to comfortably work with the state-of-the-art approaches for various tasks related to NLP.Course tools
- Python, PyTorch, HuggingFace
Prerequisites
- Python, PyTorch