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.

Converting [Source Language] to [Target Language] while preserving structure and functionality with code [Snippet]

Convert the given [source language] class or module to [target language] while preserving its functionality and structure: [code snippet].

code conversion programming language functionality

Improving Algorithm Performance through Parallel or Distributed Versions: Suggestions and Tips

Propose a parallel or distributed version of the following algorithm to improve performance: [algorithm or pseudocode].

algorithm performance distributed

Designing an Algorithm for Handling Large-Scale Data or High-Throughput in a Specific Task or Operation

Design an algorithm that can handle [large-scale data or high-throughput] for [specific task or operation].

algorithm large-scale data high-throughput

Optimal Algorithm for Problem Solving - Suggestions and Solutions | ChatGPT

Suggest an optimal algorithm to solve the following problem: [problem description].

algorithm problem solving programming

Propose Changes to Code Snippet for Better Coding Practices

Propose changes to the given [language] code to adhere to [coding style or best practices]: [code snippet].

coding style best practices

Improving Code Modularity and Reusability through Refactoring

Refactor the given [language] code to improve its modularity and reusability: [code snippet].

code refactoring modularity reusability

Optimizing Language Code Snippet for Best Performance: Tips and Tricks

Optimize the following [language] code for better performance: [code snippet].

optimization code performance

Identifying Opportunities for Design Pattern in Code: Tips and Tricks

Identify opportunities to apply [design pattern] in the given [language] code: [code snippet].

design pattern code snippet programming

Tips to Improve Readability and Maintainability of [Language] Code

Suggest refactoring improvements for the following [language] code to enhance readability and maintainability: [code snippet].

refactoring readability maintainability

How to Write a Test Suite for Language API: A Guide to Verify Functionality and Performance

Write a test suite for a [language] API that verifies its functionality and performance under different conditions.

test suite language api functionality

Designing a Comprehensive Testing Strategy for Web/Mobile App: Tips and Best Practices

Design a testing strategy for a [web/mobile] app that includes [unit, integration, system, and/or performance] testing.

testing web/mobile app unit testing

How to Generate Test Data for Edge Cases in [Language]

Generate test data for the following [language] function that tests various edge cases: [function signature].

test data edge cases programming

Creating a Test Script for Unit, Integration, and System Testing in [Language]

Create a test script for the given [language] code that covers [unit/integration/system] testing: [code snippet].

test script [language] unit testing

Designing UI Component Library for Web/Mobile App with Design System or Style Guide

Design a UI component library for a [web/mobile] app that adheres to [design system or style guide].

ui component design

Designing a Responsive User Interface for Web/Mobile App: Tips and Tricks

Design a responsive user interface for a [web/mobile] app that adapts to different screen sizes and orientations.

responsive design user interface screen adaptation

Creating a Natural Language Interface for Chatbots to Perform Specific Tasks

Create a natural language interface for a chatbot that allows users to perform [specific task or operation] using voice commands or text input.

chatbot natural language interface specific tasks

How to Implement a Chatbot for Answering FAQs in a Domain

Implement a chatbot that can answer frequently asked questions about [topic or domain].

chatbot faqs implementation

How to Develop a Conversational Script for Onboarding a Chatbot User

Develop a conversational script for a chatbot that guides users through the [onboarding process or feature setup].

chatbot conversational script onboarding process

Comparing the Performance of SQL Query using Multiple Database Engines

Compare the performance of the given SQL query using different database engines (e.g., MySQL, PostgreSQL, Oracle): [SQL query].

sql query database engines performance

Best partitioning or sharding strategies for large-scale database queries: SQL or NoSQL queries

Suggest partitioning or sharding strategies for the following large-scale database query: [SQL or NoSQL query].

database partitioning sharding

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.