Create unique Code with ChatGPT
Search and store tool for Chat GPT Prompt
Create unique and engaging Code with ChatGPT, a pre-trained language model by OpenAI for generating high-quality and accurate content.
Reviewing a Chat GPT Plugin for Eclipse or Another Code Editor
Review a Chat GPT plugin for Eclipse or another code editor.
Act as an Ascii Artist
I want you to act as an ascii artist. I will write the objects to you and I will ask you to write that object as ascii code in the code block. Write only ascii code. Do not explain about the object you wrote. I will say the objects in double quotes. My first object is "cat"
Identifying Privacy Risks in Code and Mitigating Strategies: A Technical Review
Identify potential privacy risks in the following [language] code and recommend mitigation strategies: [code snippet].
Generating API Documentation for Language Code Snippets: A How-to Guide
Generate API documentation for the following [language] code: [code snippet].
Generating Python Code from JavaScript: A Quick Tip by ChatGPT
Translate this code from javascript to python {Enter code}
Refactoring [language] Code: Tips to Improve Conciseness and Maintainability
Suggest ways to refactor the given [language] code to make it more concise and maintainable: [code snippet].
Improving The Readability Of The Given [language] Code: Tips and Suggestions
Evaluate the readability of the given [language] code and suggest improvements: [code snippet].
Top Code Scaffolding Tools for Streamlining Development in Any Language
Suggest a code scaffolding tool or library for the given [language] that helps streamline the development process.
How to Generate a Language Code Template for an Application Following Best Practices
Generate a [language] code template for a [type of application or service] that follows best practices: [application or service description].
Best Practices for Building and Maintaining a Language Codebase Integrating Third-Party Services or APIs
Recommend best practices for building and maintaining a [language] codebase that integrates with multiple third-party services or APIs.
Creating Mapping Solutions for Language Code Interfacing with External Data Source or Format
Propose a data transformation or mapping solution for the given [language] code to interface with [external data source or format]: [code snippet].
How to Write an Effective API Reference for Any Programming Language
Write an API reference for the following [language] code: [code snippet].
Navigating the Codebase and Development Process of Open-Source Project in [Language]
Provide guidance on navigating the codebase and development process of the given [language] open-source project: [repository URL or project description].
Effective Techniques for Remote Pair Programming and Code Review Sessions Among Distributed Developers
Propose techniques for remote pair programming and code review sessions among distributed [language] developers.
Improving [language] Code Security Against Common Threats: Proposed Changes in Snapshots
Propose changes to the given [language] code to improve its resistance to common security threats (e.g., SQL injection, XSS, CSRF): [code snippet].
How to Evaluate Security of a Programming Code and Suggest Improvements
Evaluate the security of the given [language] code and suggest improvements: [code snippet].
Analyzing [Language] Code Performance in Different Environments and Hardware Configurations
Analyze the performance of the following [language] code in different environments or hardware configurations: [code snippet].
Techniques for Optimizing Code Performance in [Language]
Compare the performance of the given [language] code using different optimization techniques or libraries: [code snippet].
Improving [Language] Code Performance: Parallelization and Distribution Techniques
Suggest ways to parallelize or distribute the following [language] code to improve its performance: [code snippet].
Improving Memory Usage of [Language] Code: Proposed Changes
Propose changes to the given [language] code to improve its memory usage: [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.
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.