Create unique description with ChatGPT

Search and store tool for Chat GPT Prompt

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

Write a user-friendly meta description

Suggest a meta description for the content above, make it user-friendly and with a call to action, include the keyword [keyword].

Impact of Issue Description on Project Timeline and Required Effort Estimate

Estimate the effort required to resolve the following issue and its impact on the project timeline: [issue description].

Identifying Inefficiencies in Database Schema for Query Performance Optimization

Identify any inefficiencies in the given database schema that may be affecting query performance: [schema description].

How to Generate Boilerplate Code for a Class/Module/Component with Specific Functionality

Generate a boilerplate [language] code for a [class/module/component] named [name] with the following functionality: [functionality description].

Graceful Gem of the East
 Graceful Gem of the East
Preview

"Describe a beautiful Asian woman with black hair, almond-shaped eyes, and a slim figure." Output: She is a stunning Asian beauty with long, silky black hair that cascades down her back in loose waves. Her almond-shaped eyes are a deep, dark brown, and they sparkle with intelligence and warmth. Her complexion is smooth and flawless, with a hint of a golden glow that suggests she spends time in the...

Production Description
 Production Description
Preview

Write a [10] sentence product description for the following product keywords. Product keywords: [keyword 1], [keyword 2], [keyword 3], and [keyword 4].

Create a Tutorial on How to Generate Meta Descriptions with Chat GPT

Create a tutorial on how to generate Meta descriptions with Chat GPT.

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.


What is prompt engineering

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.


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.
play background gpt3

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.