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Create unique and engaging document with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.

Generating API Documentation for Language Code Snippets: A How-to Guide

Generate API documentation for the following [language] code: [code snippet].

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Using Document Management Tools to Stay Organized and On Track

How can I use document management tools to stay organized and on track?

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Creating a System for Organizing and Sharing Documents

How can I create a system for organizing and sharing documents?

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Best Practices for Managing Documents in the Office

What are some best practices for managing documents in the office?

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How to Use Google Sheets Built-in Templates to Create Different Types of Documents

How do I use the Google Sheets built-in templates to create different types of documents?

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Explaining the Document Object Model (DOM) in Web Development

Can you explain the Document Object Model (DOM) in web development?

document object model dom web development

Generate an FAQ

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Tips for Writing Clean and Self-Documenting Code for Better Code Maintenance

Share advice on how to write clean and self-documenting [language] code that is easy for others to understand and maintain.

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How ChatGPT can help with documentation writing for code?

write the documentation for a piece of code {Enter code}

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Adding a CSS File to an HTML Document

How do you add a CSS file to an HTML document?

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Five Chat GPT Features to Aid Documentation

Make a list of five Chat GPT features that can aid documentation.

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What is “prompt engineering”?

A “prompt” is the input that guides a generative AI model to generate useful outputs. Generative AI tools like ChatGPT, GPT, DALL·E 2, Stable Diffusion, Midjourney, etc. all require prompting as their input.

In a natural language processing (NLP) context, “prompt engineering” is the process of discovering inputs that yield desirable or useful results. As is the story with any processes, better inputs yield better outputs; or commonly said another way “garbage in, garbage out.”

![Source: https://www.youtube.com/watch?v=1NQWJjgi-_k

Designing effective and efficient prompts will increase the likelihood of receiving a response that is both favorable and contextual. With a good prompt, you can spend less time editing content and more time generating it.

Going from beginner → advanced prompt engineer

As companies like PromptBase arise around the idea that the prompt is the “secret sauce” to using generative AI, prompt engineering could easily become the “career of the future.” But, any generative AI user can become an “advanced” prompt engineer. Here’s how

Spend time with the tools

The more time you spend asking ChatGPT questions and receiving responses, the better your idea will be of various prompting approaches and their individual strengths and weaknesses
Use Open AI’s GPT playground to perform interactive trial and error with variations in your prompt, model, temperature and top_p values (uniqueness of answer, i.e. creativity), and more available within the UI itself.

Become a prompt researcher instead of engineer

If you’re already a subject matter expert in something, consider figuring out how to apply your personal skills to generating the best prompts in your field
For example, if you’re an expert in SEO, what questions do you ask yourself when creating SEO strategies? How can you translate this knowledge into better prompts to generate the same level of output with AI?

Become a prompt researcher instead of engineer

The term prompt engineer glosses over the idea that prompt formulation takes hypothesizing, research, result measurement, and repetition. Instead, approach prompting like a research project.
Try as many different variations and formulations of your prompt as possible. One problem can have hundreds of solutions and one solution can have hundreds of approaches. The same can be said of prompting.