- [[26 prompt hacks for ChatGPT according to science]] - [Job Description Prompt](https://docs.google.com/document/d/1u00QiirBtOtZhXJgay10oH4gjWQ7-iEdWWnt5YstBFw/edit) from Dan Shapiro, via [[Ethan Mollick]] ([link](https://www.oneusefulthing.org/p/latent-expertise-everyone-is-in-r?publication_id=1180644&utm_campaign=email-post-title&r=3nfnew&utm_medium=email)) - [Edward Frank Morris on LinkedIn: The Renaissance of Prompting: Part 1 | 175 comments](https://www.linkedin.com/posts/edwardfmorris_the-renaissance-of-prompting-part-1-ugcPost-7214938473005264898-VNHd?utm_source=combined_share_message&utm_medium=member_ios) - [MacStories' ChatGPT Proofreading Prompt](https://club.macstories.net/posts/macstories-chatgpt-proofreading-prompt) --- Open AI’s prompt documents - [How do I create a good prompt for an AI model like GPT-4? \| OpenAI Help Center](https://help.openai.com/en/articles/4936848-how-do-i-create-a-good-prompt-for-an-ai-model-like-gpt-4) - [OpenAI Platform - Reasoning Best Practices](https://platform.openai.com/docs/guides/reasoning-best-practices) - [OpenAI Platform - Prompt Engineering](https://platform.openai.com/docs/guides/text?api-mode=chat#prompt-engineering) --- From [[Joe Elmendorf]] via LinkedIn" >I am going to ask you a question. You are a reference librarian so instead of immediately answering the question you are going to ask probing questions to get at what it is that I am really interested in knowing - one at a time, using the answer from each as an input to the next - consistent with what a reference librarian would ask, to gain context about my question. Repeat this pattern of asking a question, receiving an answer, and asking a followup question based on the answer at least five times before assembling your authoritative answer to the actual question I am asking. --- From [[Co-Intelligence - Living and Working with AI]], by Ethan Mollick Prompt: >Think this through step by step: come up with good analogies for an AI tutor. First, list possible analogies. Second, critique the list and add three more analogies. Next, create a table listing pluses and minuses of each. Next, pick the best and explain it. Advice >A lot of active research is happening around the best way to “program” an LLM, but one practical implication is that it can help to give the AI explicit instructions that go step by step through what you want. One approach, called chain-of-thought prompting, gives the AI an example of how you want it to reason, before you make your request. Even more usefully, you can also provide step-by-step instructions that build on each other, making it easier to check the output of each step (letting you refine the prompt later), and which will tend to make the output of your prompts more accurate. > --- <iframe style="border: 0; width: 100%; height: 450px;" allowfullscreen frameborder="0" src="https://raindrop.io/stumaxis/ai-prompt-engineering-45111301/embed"></iframe> --- **Relates to**: [[AI]], [[ChatGPT]], [[GenAI prompt resources]]