Create unique function with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging function with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
How to Create a Functional Prototype of a Web/Mobile App with Specific Functionality or User Flow
Create a functional prototype of a [web/mobile] app that demonstrates [specific functionality or user flow].
Converting [Source Language] to [Target Language] while preserving structure and functionality with code [Snippet]
Convert the given [source language] class or module to [target language] while preserving its functionality and structure: [code snippet].
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.
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].
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].
How ChatGPT can help you write engaging articles about app functionality
I will provide you with basic steps of an app functionality {enter steps} and you will come up with an engaging article on how to do those basic steps.
Maximizing Productivity with Software Testing using ChatGPT
Your job is to test the functionality and performance of the software to ensure it meets the required {enter how requirements} standards. {enter code}
Generating an Opinion About the Content of the Given Input using a Function
Find the big in the following function that finds {Enter the problem} and {enter the function}
Optimizing Function Name Implementation: Generating an Opinion about the Content
What is the more efficient way to implement {function name}
Analyze the function and generate test cases
Write a few test cases to ensure this {Function name} is correct.
Understanding the Functionality of {Function name} through Opinion Generation with ChatGPT
What is this {Function name} doing?
Generate an Opinion about the Content of the Input Using the Growth Team Framework
Write a marketing campaign outline using the 'Growth Team Framework' to build a cross-functional team with the skills and expertise needed to drive growth for our [product/service] and describe how you would establish clear roles, responsibilities, and processes to support it. Include specific tactics and metrics you would use to measure the effectiveness of this approach.
Making Emails Accessible and Functional on Different Mobile Platforms and Devices
How can I make sure my emails are accessible and functional on different mobile platforms and devices?
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.