Further Resources on Prompting

Prompt guidance changes as models and products change. Prefer current, first-party documentation for a specific product and independent research for claims that should generalise across systems. Test any technique on the real task rather than assuming a published pattern will transfer.

Current product guidance

• OpenAI model guidance and prompting best practices 
• Anthropic prompt library 

Product guidance can explain supported features and recommended syntax. It is not independent evidence that using the product improves teaching or learning.

Research overviews

• Lin, Z. (2024). How to write effective prompts for large language models. Nature Human Behaviour, 8, 611–615. https://doi.org/10.1038/s41562-024-01847-2 
• Schulhoff, S., Ilie, M., Balepur, N., et al. (2024). The prompt report: A systematic survey of prompting techniques. arXiv. https://doi.org/10.48550/arXiv.2406.06608 

Open learning resources

• Prompt Engineering Guide 
• Learn Prompting 

Check when a resource was last updated, which models it tested, and whether its examples measure output appearance or actual task accuracy.