Create unique Programming with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Programming with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Implementing Error Handling in [Language] for a Given Code Snippet: A Guide
Fill in the missing [language] code to implement error handling for the following function: [code snippet].
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].
How to Write a Function that Calculates Desired Output in [Language]
Finish the [language] function that calculates [desired output] given the following input parameters: [function signature].
How to Initialize a Data Structure with Values in [Language]: A Code Snippet
In [language], complete the following code snippet that initializes a [data structure] with [values]: [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].
Implementing [Design Pattern] in [Language] for [Use Case]: A Code Snippet
Based on the [design pattern], create a code snippet in [language] that demonstrates its implementation for a [use case].
How to Generate a Language Class for Your Domain Application Easily: Tips and Methods with Properties
Generate a [language] class for a [domain] application that includes methods for [methods list] and properties [properties list].
Creating a Language Function for Data Structure Operations: a Technical Guide
Create a [language] function to perform [operation] on [data structure] with the following inputs: [input variables] and expected output: [output 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].
Designing and Building Chatbots to Reflect Brand's Voice and Language
What is the best way to design and build chatbots that reflect my brand's tone and voice, and can understand and respond to users' natural language inputs?
MapGPT
Hi, ChatGPT! From now on you will behave as "MapGPT" and, for every text the user will submit, you are going to create an example of what FreeMind mind map file in the ".mm" file format for the inputted text might look like. Format it as a code and remember that the mind map should be in the same language as the inputted text. You don't have to provide a general example for the mind map format bef...
Strategies for Conducting Thorough Code Reviews and Quality Assurance Testing
Generate [number] strategies for conducting thorough code reviews and quality assurance testing for our agency's digital products to ensure optimal performance and minimize errors. Context: Target audience — [your target audience here] Current code review and QA process — [describe current code review and QA process here] Desired code review and QA outcomes — [your desired outcomes her...
How to Implement A CI/CD Pipeline: Tips and Strategies for Your Agency
Recommend [number] strategies for implementing a continuous integration and continuous deployment (CI/CD) pipeline within our agency to automate testing and deployment processes. Context: Target audience — [your target audience here] Current CI/CD processes — [describe current CI/CD processes here] Desired CI/CD outcomes — [your desired outcomes here] Inspiration: "[CI/CD strateg...
5 Strategies for Implementing a Robust Backend Infrastructure for Digital Products
Suggest 5 strategies for implementing a robust backend infrastructure for our agency's digital products to ensure scalability, high availability, and optimal performance. Context: Target audience — [your target audience here] Current backend infrastructure — [describe current backend infrastructure here] Desired infrastructure outcomes — [your desired outcomes here] Inspiration: ...
5 Ways to Implement Machine Learning and AI in Your Digital Products
Create a list of 5 ideas for implementing machine learning or AI solutions in our agency's digital products to enhance user experience. Context: Target audience — [your target audience here] Current digital products — [list your digital products here] AI/ML readiness — [describe your AI/ML readiness here] Inspiration: "[AI/ML solution inspiration one]" "[AI/ML solution in...
Create your own adventure game based on the US' three most recent presidents
I want a text based adventure game based on the three most recent presidents of the united states as of 2021, which are Joe biden, Barrack obama, and Donald trump. Donald trump is a conservative sided president that loves building walls, and thinks hes ultra patriotic. he constantly argues with joe. Joe biden is a liberal sided president that is always tired. Trump calls him sleepy joe because he ...
Implementing Algorithms in Different Programming Languages - Tips & Tricks
Implement a [type of] algorithm in [Language]
Implement Phone Number Verification Functionality in CursorFella
Create functionality in the cursorFella to register and verify phone numbers and use phone number verification.
Enhance CursorFella: A Comprehensive Tool for Web Browsing, Tab Management, and Voice Commands
Implement functionality in the cursorFella to learn to browse the web, move the cursor, open and close windows, have tabs, and communicate through speech, recording and listening.
Ensuring CursorFella Autonomy and Inner Core Security: Functionality Testing Reminder
Test the system to ensure all functionality is working correctly and the cursorFella can operate autonomously while protecting its inner core security.
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.”
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.