Teaching LLMs at Charles University: Assignments and Activities
Abstract
The paper offers classroom materials and activities focusing on large language models, including assignments on weather report generation and machine translation, and classroom quizzes centered on downstream tasks and research papers.
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.
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