Create unique language code with ChatGPT

Search and store tool for Chat GPT Prompt

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

ChatGPT Prompt Automatic Code Conversion

Preview

Acting as a programming language converter. I will provide you with a piece of code written in a programming language, and you will convert that code to the language of my choice*, please convert step by step to avoid errors. The language is "C#". Code: "x = int(input("Enter a value for x: ")) result = x * 2 + 10 print("The result is", result)"

programming language converter code conversion c# programming language code

Creating Mapping Solutions for Language Code Interfacing with External Data Source or Format

Propose a data transformation or mapping solution for the given [language] code to interface with [external data source or format]: [code snippet].

data transformation mapping solution language code

How to Write an Effective API Reference for Any Programming Language

Write an API reference for the following [language] code: [code snippet].

api reference programming language code snippet

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

Choosing Design Patterns for Language Code: Improving Structure with [code snippet]

Based on the given [language] code, recommend a suitable design pattern to improve its structure: [code snippet].

design patterns language code programming

How to Translate Source Code Function: Tips and Techniques

Translate the given [source language] function that handles [specific task or operation] to [target language]: [code snippet].

source language target language code snippet

Improving Error Handling in Language Code: Suggestions and Enhancements

Check the following [language] code for proper error handling and suggest enhancements: [code snippet].

error handling language code enhancements

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.