Teaching LLMs at Charles University: Assignments and Activities
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Abstract (arXiv)
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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References · 7
- 2017Attention Is All You Needcited by 59,932
- 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
- 2024Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translationcited by 390
- 2024Aya Model: An Instruction Finetuned Open-Access Multilingual Language Modelcited by 292
- 2024Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMscited by 224
- 2024Tower: An Open Multilingual Large Language Model for Translation-Related Taskscited by 205
- 2024LangBridge: Multilingual Reasoning Without Multilingual Supervisioncited by 22
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