Create unique Programming and Data with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Programming and Data with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
How to Choose a Suitable Programming Language for a Project: Tips and Recommendations
Based on the given project requirements, recommend a suitable [programming language, framework, or technology]: [requirements description].
Generating High-Level Architecture for Project Requirements
Interpret the following project requirements and suggest a high-level architecture or design: [requirements description].
Troubleshooting Guide for [Programming Language/Library/Framework]: Common Issues and Solutions
Create a troubleshooting guide for common issues and their solutions when working with [programming language, library, or framework].
How to Write Clear and Concise Explanations of Algorithms in Programming
Write a clear and concise explanation of the [algorithm or concept] in [programming language or technology].
How to Write a README File for Your Programming Project: Overview, Installation and Usage
Draft a README file for a [programming language or technology] project that includes an overview, installation instructions, and usage examples.
Step-by-Step Guide for Setting up and Configuring [Tool or Software] for [Specific Use Case or Environment]
Create a step-by-step guide on setting up and configuring [tool or software] for [specific use case or environment].
How to Implement A Specific Feature Using A Programming Language: Tutorial
Write a tutorial on how to implement [specific feature or functionality] using [programming language or technology].
Identify Areas of Improvement in Your Coding Skills via Code Analysis
Identify areas of improvement in my coding skills based on the following [language] code: [code snippet].
Top project ideas and coding exercises to improve programming skills
Suggest project ideas or coding exercises to practice and improve my skills in [programming language or technology].
Adapting [source language] Code Snippets to [Target Language] Following Best Practices
Adapt the following [source language] code snippet to [target language] while adhering to [target language's best practices]: [code snippet].
Tips for Migrating Source Code to a New Language with Different Framework
Migrate the following [source language] code that uses [library or framework] to [target language] with a similar library or framework: [code snippet].
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].
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].
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].
Optimal Algorithm for Problem Solving - Suggestions and Solutions | ChatGPT
Suggest an optimal algorithm to solve the following problem: [problem description].
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].
Improving Code Modularity and Reusability through Refactoring
Refactor the given [language] code to improve its modularity and reusability: [code snippet].
Optimizing Language Code Snippet for Best Performance: Tips and Tricks
Optimize the following [language] code for better performance: [code snippet].
Identifying Opportunities for Design Pattern in Code: Tips and Tricks
Identify opportunities to apply [design pattern] in the given [language] code: [code snippet].
Tips to Improve Readability and Maintainability of [Language] Code
Suggest refactoring improvements for the following [language] code to enhance readability and maintainability: [code snippet].
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.