Create unique Y with ChatGPT

Search and store tool for Chat GPT Prompt

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

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 SQL query performance by replacing subqueries with JOINs

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

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].

Keyword Extraction: Extracting Meaningful Words from Text Sample

Perform keyword extraction on the following text: [text sample].

How to Identify the Main Topic(s) of Text with Opinion Generation

Identify the main topic(s) of the following text: [text sample].

How to Extract Named Entities from Text Sample: Step by Step Guide

Extract named entities from the following text: [text sample].

Evaluating Code Modularity and Maintainability: A [Language] Code Snippet Analysis

Evaluate the modularity and maintainability of the given [language] code: [code snippet].

Analyzing Coding Style for [Language]: [Code Snippet], Tips and Techniques

Analyze the given [language] code for adherence to [coding style guidelines]: [code snippet].

Reviewing Language Code for Security Vulnerabilities

Review the following [language] code for any security vulnerabilities: [code snippet].

How to Check for Race Conditions and Concurrency Issues in [Language] Code: A Guide

Check for any race conditions or concurrency issues in the given [language] code: [code snippet].

How to Find and Fix Memory Leaks in [Language] Code

Find any memory leaks in the following [language] code and suggest fixes: [code snippet].

How to Prevent Errors in Code: Analyzing and Improving [Language] Snippets

Analyze the given [language] code and suggest improvements to prevent [error type]: [code snippet].

How to Write a Script Using a Library/Framework with Given Requirements

Write a [language] script to perform [task] using [library/framework] with the following requirements: [requirements list].

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].

Improving Brand Storytelling Strategy | Narrative Marketing Analysis and Recommendations

Please analyze my brand storytelling and narrative marketing metrics and provide recommendations for how I can improve my strategy.

Using Storytelling Formats for Memorable Brand Experience

How can I use different storytelling formats such as blog posts, videos, podcasts, or interactive content to convey my brand's story and create a memorable brand experience?

Crafting a Compelling Brand Narrative that Resonates with Your Target Audience Through Alignment and Positioning

What is the best way to identify and craft a brand narrative that aligns with my brand's mission, values, and positioning, and resonates with my target audience's needs and aspirations?

Effective Ways to Use Influencer Marketing and Guest Blogging to Increase Traffic and Conversions

What are some effective ways to use influencer marketing or guest blogging to increase content reach and drive traffic and conversions?

Improving Content Distribution and Promotion Strategy: Metrics Analysis and Recommendations

Please analyze my content distribution and promotion metrics and provide recommendations for how I can improve my strategy.

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.