Create unique Programming and Data with ChatGPT

Search and store tool for Chat GPT Prompt

Create unique and engaging Programming and Data 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.

Designing a Comprehensive Testing Strategy for Web/Mobile App: Tips and Best Practices

Design a testing strategy for a [web/mobile] app that includes [unit, integration, system, and/or performance] testing.

How to Generate Test Data for Edge Cases in [Language]

Generate test data for the following [language] function that tests various edge cases: [function signature].

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].

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].

Designing a Responsive User Interface for Web/Mobile App: Tips and Tricks

Design a responsive user interface for a [web/mobile] app that adapts to different screen sizes and orientations.

Creating a Natural Language Interface for Chatbots to Perform Specific Tasks

Create a natural language interface for a chatbot that allows users to perform [specific task or operation] using voice commands or text input.

How to Implement a Chatbot for Answering FAQs in a Domain

Implement a chatbot that can answer frequently asked questions about [topic or domain].

How to Develop a Conversational Script for Onboarding a Chatbot User

Develop a conversational script for a chatbot that guides users through the [onboarding process or feature setup].

Comparing the Performance of SQL Query using Multiple Database Engines

Compare the performance of the given SQL query using different database engines (e.g., MySQL, PostgreSQL, Oracle): [SQL query].

Best partitioning or sharding strategies for large-scale database queries: SQL or NoSQL queries

Suggest partitioning or sharding strategies for the following large-scale database query: [SQL or NoSQL query].

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].

Optimizing a NoSQL Query for Better Performance and Resource Usage

Optimize the following NoSQL query for better performance and resource usage: [NoSQL query].

Optimizing SQL query performance by replacing subqueries with JOINs

Rewrite the following SQL query to use JOINs instead of subqueries for improved performance: [SQL query].

Effective Indexing Techniques for Optimizing SQL Queries

Suggest indexing strategies for the following SQL query: [SQL query].

Analyzing SQL Query for Potential Bottlenecks: A Guide to Optimize Database Performance

Analyze the given SQL query for any potential bottlenecks: [SQL query].

Optimizing SQL Query for Better Performance: Tips and Techniques

Optimize the following SQL query for better performance: [SQL query].

How to Create a Quick-Start Guide for [Language] Library with Code Snippet for Easy Setup

Produce a quick-start guide for using the following [language] library: [code snippet].

Opinion Generator Function for Language Code Snippets: Expected Input and Output

Document the expected input and output for the given [language] function: [code snippet].

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

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


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.