Create unique prevent with ChatGPT

Search and store tool for Chat GPT Prompt

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

6 Proven ChatGPT Prompts: Creating harassment prevention policies
 6 Proven ChatGPT Prompts: Creating harassment prevention policies
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7 Proven ChatGPT Prompts: Develop e-commerce fraud prevention
 7 Proven ChatGPT Prompts: Develop e-commerce fraud prevention
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How to Protect Sensitive Office Data and Information

What are some ways to protect sensitive office data and information?

Creating a Plan for Office Crisis Prevention and Preparedness

How can I create a plan for office crisis prevention and preparedness?

Ways to Reduce Office Crisis Impact and Recovery Time

What are some ways to reduce office crisis impact and recovery time?

Prevent Emails from Being Seen as Spam

How can I make sure that my emails are not seen as spam?

Identifying and Preventing Recurrence of Issues: Tips and Techniques for Root Cause Analysis

Identify the root cause of the given issue and propose steps to prevent its recurrence: [issue description].

How to Prevent Errors in Code: Analyzing and Improving [Language] Snippets

Analyze the given [language] code and suggest improvements to prevent [error type]: [code snippet].

Explaining How Cross-Site Scripting (XSS) Works and How to Prevent It

Can you explain how cross-site scripting (XSS) works and how to prevent it?

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.


What is prompt engineering

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.


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.
play background gpt3

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.