Create unique component with ChatGPT

Search and store tool for Chat GPT Prompt

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

Using Google Sheets Principal Component Analysis (PCA) to Analyze Data

How do I use the Google Sheets principal component analysis (PCA) to analyze data?

google sheets principal component analysis pca data analysis

Create SEO Standards for 'Generate an Opinion about the Content of the Input'

I require UI assistance. I need three action buttons for a card component that includes a long statement, but I don't want the buttons to always be visible. I need a good UI that functions on both desktop and mobile since if I try to show the buttons on Hoover, that logic won't work on mobile.

ui action buttons card component long statement desktop mobile hoover

How to Build a Computer: A Guide to Choosing Components and Assembling Your Computer

How to build a computer: Building a computer can be fun and rewarding, and ChatGPT can guide choosing components and assembling your computer.

computer building components assembling guide choosing fun rewarding

Designing UI Component Library for Web/Mobile App with Design System or Style Guide

Design a UI component library for a [web/mobile] app that adheres to [design system or style guide].

ui component design

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].

boilerplate code class/component functionality description

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.