  This paper presents teaching materials, particularly assignments and ideas
for classroom activities, from a new course on large language models (LLMs)
taught at Charles University. The assignments include experiments with LLM
inference for weather report generation and machine translation. The classroom
activities include class quizzes, focused research on downstream tasks and
datasets, and an interactive "best paper" session aimed at reading and
comprehension of research papers.
