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This is your main working page for AI Prompts for Technical Writers. Use this page to find out what to name your files, see when projects are recommended to be completed, go to the online textbook and other resources for additional information.
Throughout this course, ChatGPT is used generically to refer to any chat AI application. Use whichever application you prefer.
Be sure to bookmark this page so that you can easily return.
Links have been removed from this page.
Go to course overview to see how this course is set up.
Use this AI, LLM overview to get a generalized sense of how AI prompt fir into LLMs.
Fun with AI chat applications |
Use this fun with ChatGPT study guide to experiment with simple prompts and get a feel for the application.
Generate to and from e-mail |
Use this AI chat e-mail study guide to see how AI chat can handle both sides of an e-mail exchange.
Get AI chat to do some math |
Use this AI chat math study guide to experiment with using AI chat to perform mathematical calculations.
Set up the learnprompting.org embed |
Use this learnprompting.org study guide to embed AI code on your computer.
Use delimiters to indicate parts of the prompt |
Use this delimiters study guide to find out how to indicate the different parts of a prompt.
Request structured output |
Use this structured output study guide to find out how to indicate the different parts of a prompt.
Provide examples of successful output |
You'll often see references to "few shot" prompts. It means providing examples of the output you hope to get.
Use this few shot study guide to find out how to make the prompt adhere to conditions.
Specify steps for the model to think through first |
This is a three-part practice. Use this translate, list study guide to find out how to cause the model to do some processing first in order to reach a good result.
Sometimes when you post a complex prompt to the model, it processes too quicky and reaches an incorrect result. On solution is to have it go through preliminary processing, which slows it down.
Summarize text or extract from text |
Use this summarize, extract study guide to find out how to summarize text or extract from text in various ways.
Generate a product description from a fact sheet |
Use this product description study guide to find out how to cause the model to create a product description from a fact sheet.
Change focus to different audience |
Use this audience refocus study guide to find out how to refocus the model on a different audience.
Generate a short summary of a product |
Use this product-summary study guide to find out how to a product summary from a product website.
Use this multiple-review-summary study guide to find out how to create summaries of multiple reviews.
Use this sentiment-inference study guide to find out how to prompt AI to characterize the sentiment of a text.
remember that iterative.mp4 does some translation
As of May 2024, ChatGPT 3.5 claims it can translate these language:
English
Spanish
French
German
Chinese (Simplified and Traditional)
Japanese
Russian
Arabic
Portuguese
Italian
Dutch
Korean
Hindi
Turkish
Swedish
Polish
Vietnamese
Greek
Thai
Hebrew
Use this AI translation study guide to find out how to get AI to translate to and from different languages.
Use this Universal Translator study guide to enable translation of multiple laguages from a single prompt.
Use this tone transform study guide to see how get AI to transform the tone of a message.
Use this writing-check study guide to see how well ChatGPT can check for writing errors.
Response to a customer complaint |
Use this customer complaint study guide to generate an automated reply to an unhappy customer.
Use this images study guide to learn prompts that generate iames.
Information and programs provided by admin@mcmassociates.io.
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