Inspiration for teaching

Resources from other institutions

Mollick & Mollick

Inspirational guidelines from frontrunners in applying generative AI in teaching in Higher Education, Dr. Ethan Mollick and Dr. Lilach Mollick, Wharton School of the University of Pennsylvania & Wharton Interactive.


Prompting

Harvard Prompt library

Text

  • See under 'prompts' in the left menu

A meta study of prompting methods

This study covers 39 prompting methods in large language models across 29 NLP tasks.


Considerations

Copyright issues

A series of short interviews from SDU with questions related to copyright and data security.

Generative AI and data security

Guidelines on data security, data classifications and what type of data you feed into generative AI-tools.


Large Language Models

Comparison of Large Language Models

Check the 'Leader board'.
User validated comparison of open source and commercial LLMs.

A developer's guide to LLMs

A developer's guide to prompt engineering and LLMs

Generative AI guides

Find the specific guidelines for the participating institutions here: