Create unique API with ChatGPT

Search and store tool for Chat GPT Prompt

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

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

Tips for Generating Usage Examples for [Language] API: [Code Snippet]

Generate usage examples for the following [language] API: [code snippet].

api programming language

How to Create a Concise API Reference for a Programming Language Class

Create a concise API reference for the given [language] class: [code snippet].

api programming language reference

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

Using Email List Scraping to Quickly Grow Your Email List

How can I use email list scraping to quickly grow my email list?

email list email list scraping email marketing list building list growth

Act as a Fancy Title Generator

I want you to act as a fancy title generator. I will type keywords via comma and you will reply with fancy titles. my first keywords are api,test,automation

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.