Create unique language with ChatGPT

Search and store tool for Chat GPT Prompt

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

Improving [Language] Code Performance: Parallelization and Distribution Techniques

Suggest ways to parallelize or distribute the following [language] code to improve its performance: [code snippet].

[language] code parallelize distribute

How to Generate a Data Flow Diagram for [Language]? Step by Step Guide

Generate a data flow diagram for the given [language] code that demonstrates how data is processed: [code snippet].

data flow diagram code snippet [language]

Incorporating Continuous Testing and Quality Assurance in [Language] Projects: A Helpful Guide

Share advice on how to incorporate continuous testing and quality assurance into the development process for a [language] project.

continuous testing quality assurance [language] project

Effective Strategies for Task Management in [Language] Development Projects

Share strategies for effectively managing and prioritizing tasks in a [language] development project.

task management priority [language] development project

Creating an Effective FAQ Section for Your [Language] Project or Tool: Tips and Best Practices

Develop a FAQ section that addresses common questions and issues related to the given [language] project or tool.

faq [language] tips

Best Tools and Practices for [Language] Development Team Remote Collaboration

Suggest tools and best practices for remote collaboration among the members of a [language] development team.

remote collaboration [language] development team

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

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].

api [language] 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.