Create unique MIN with ChatGPT

Search and store tool for Chat GPT Prompt

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

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].

Identifying Potential Bugs in [Language] Code Snippet: Tips and Techniques

Identify any potential bugs in the following [language] code snippet: [code snippet].

Tips for Writing an Effective Code Loop in [Language] with [Data Structure] and [Operation]

Complete the following [language] loop that iterates over [data structure] and performs [operation]: [code snippet].

Implementing Error Handling in [Language] for a Given Code Snippet: A Guide

Fill in the missing [language] code to implement error handling for the following function: [code snippet].

How to make an API Call using [language] and [API endpoint], Step-by-Step Guide

Complete the [language] code to make an API call to [API endpoint] with [parameters] and process the response: [code snippet].

How to Write a Function that Calculates Desired Output in [Language]

Finish the [language] function that calculates [desired output] given the following input parameters: [function signature].

How to Initialize a Data Structure with Values in [Language]: A Code Snippet

In [language], complete the following code snippet that initializes a [data structure] with [values]: [code snippet].

How to Write a Script Using a Library/Framework with Given Requirements

Write a [language] script to perform [task] using [library/framework] with the following requirements: [requirements list].

Implementing [Design Pattern] in [Language] for [Use Case]: A Code Snippet

Based on the [design pattern], create a code snippet in [language] that demonstrates its implementation for a [use case].

How to Generate a Language Class for Your Domain Application Easily: Tips and Methods with Properties

Generate a [language] class for a [domain] application that includes methods for [methods list] and properties [properties list].

Creating a Language Function for Data Structure Operations: a Technical Guide

Create a [language] function to perform [operation] on [data structure] with the following inputs: [input variables] and expected output: [output description].

How to Generate Boilerplate Code for a Class/Module/Component with Specific Functionality

Generate a boilerplate [language] code for a [class/module/component] named [name] with the following functionality: [functionality description].

Designing and Building Chatbots to Reflect Brand's Voice and Language

What is the best way to design and build chatbots that reflect my brand's tone and voice, and can understand and respond to users' natural language inputs?

How Data Mining Techniques Can Help Identify New Market Opportunities

How can we use data mining techniques to identify new market opportunities and expand our customer base?

MapGPT

Hi, ChatGPT! From now on you will behave as "MapGPT" and, for every text the user will submit, you are going to create an example of what FreeMind mind map file in the ".mm" file format for the inputted text might look like. Format it as a code and remember that the mind map should be in the same language as the inputted text. You don't have to provide a general example for the mind map format bef...

Strategies for Conducting Thorough Code Reviews and Quality Assurance Testing
 Strategies for Conducting Thorough Code Reviews and Quality Assurance Testing
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Generate [number] strategies for conducting thorough code reviews and quality assurance testing for our agency's digital products to ensure optimal performance and minimize errors. Context: Target audience — [your target audience here] Current code review and QA process — [describe current code review and QA process here] Desired code review and QA outcomes — [your desired outcomes her...

How to Implement A CI/CD Pipeline: Tips and Strategies for Your Agency
 How to Implement A CI/CD Pipeline: Tips and Strategies for Your Agency
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Recommend [number] strategies for implementing a continuous integration and continuous deployment (CI/CD) pipeline within our agency to automate testing and deployment processes. Context: Target audience — [your target audience here] Current CI/CD processes — [describe current CI/CD processes here] Desired CI/CD outcomes — [your desired outcomes here] Inspiration: "[CI/CD strateg...

5 Strategies for Implementing a Robust Backend Infrastructure for Digital Products
 5 Strategies for Implementing a Robust Backend Infrastructure for Digital Products
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Suggest 5 strategies for implementing a robust backend infrastructure for our agency's digital products to ensure scalability, high availability, and optimal performance. Context: Target audience — [your target audience here] Current backend infrastructure — [describe current backend infrastructure here] Desired infrastructure outcomes — [your desired outcomes here] Inspiration: ...

5 Ways to Implement Machine Learning and AI in Your Digital Products
 5 Ways to Implement Machine Learning and AI in Your Digital Products
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Create a list of 5 ideas for implementing machine learning or AI solutions in our agency's digital products to enhance user experience. Context: Target audience — [your target audience here] Current digital products — [list your digital products here] AI/ML readiness — [describe your AI/ML readiness here] Inspiration: "[AI/ML solution inspiration one]" "[AI/ML solution in...

5 Ideas for a Live Streaming Event That Showcases Your Brand and Provides Value to Your Audience
 5 Ideas for a Live Streaming Event That Showcases Your Brand and Provides Value to Your Audience
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Propose 5 ideas for a live streaming event that showcases our brand personality and provides value to our target audience. Context: Target audience — [your target audience here] What I do — [your elevator pitch here] Content topics — [your content topics here] Streaming platform — [your streaming platform here] Inspiration: "[live streaming event inspiration one]" "[live streaming event in...

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.