# Prompt Engineering See also [[LLM Prompt Engineering]] A whole course on prompt engineering: - [Learn Prompting | Learn Prompting](https://learnprompting.org) When dealing with [[Generative Models]], you can achieve significantly improved results by working on your prompts. For example, on [[Midjourney]]: ![[Prompt Engineering-1659280353910.jpeg]] See also the [[Midjourney]] manual: - [User Manual - Midjourney Documentation](https://midjourney.gitbook.io/docs/user-manual#advanced-text-weights) ## Links [[Michael Nielsen]] on twitter asks for links to papers and research about [[Prompt Engineering]]: - [https://twitter.com/michael_nielsen/status/1552767328936292354?s=12&t=pPWSnFEOTyhb1pOP6pQyfA](https://twitter.com/michael_nielsen/status/1552767328936292354?s=12&t=pPWSnFEOTyhb1pOP6pQyfA) - [prompt engineering - Google Scholar](https://scholar.google.com/scholar?hl=en&as_sdt=0%2C5&q=prompt+engineering&btnG=) Responses to that question: - [[2102.07350] Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm](https://arxiv.org/abs/2102.07350) - [Methods of prompt programming :: — Moire](https://generative.ink/posts/methods-of-prompt-programming/) - [The DALL·E 2 Prompt Book – DALL·Ery GALL·Ery](https://dallery.gallery/the-dalle-2-prompt-book/) - [https://twitter.com/hardmaru](https://twitter.com/hardmaru) (especial april - june) A lot of threads on the [[openAI]] forum of course: - [OpenAI API Community Forum](https://community.openai.com/) ## Log [[2022-07-31]] - Created entry based on [[Michael Nielsen]]'s thread