Pseudolang Prompts Unleashed
  • 🖥️Introduction to pseudoLang Prompts
    • Purpose of pseudoLang for ChatGPT
    • Benefits of using pseudoLang
    • Limitations and considerations
  • 🏗️Basic Syntax and Structure
    • Defining Functions
  • Specifying Input Types and Output
  • Indicating Actions and Steps
  • Nesting and loops
  • 🎯Examples of pseudoLang Functions
    • Sample Functions
  • 🌟Tips for Writing Effective Pseudolang Prompts
    • Provide Clear Instructions
  • Defining Input and Output Requirements
  • Using Appropriate Syntax and Formatting
  • Experimenting with Different Phrasings
  • Verifying and Refining Generated Outputs
  • 🧠Advanced pseudoLang Techniques
    • Creating Custom Functions
  • Combining Multiple Functions
  • Handling Errors and Exceptions
  • Guiding the Model with Additional Context
  • 🔚Conclusion and Next Steps
    • Further Resources and Learning
    • Community Contributions and Collaboration
  • Ongoing Development and Future Updates
Powered by GitBook
On this page
  1. Basic Syntax and Structure

Defining Functions

Functions are the main building blocks of pseudoLang prompts. They allow you to encapsulate a specific task or operation and define the input and output requirements. When defining a function in a pseudoLang prompt, following a consistent structure is essential to ensure that ChatGPT can parse and understand the function correctly.

  1. Function name: Start by defining the function name, using a descriptive name that reflects the task or operation that the function performs.

  2. Input: Describe the input requirements for the function, including the types of inputs the function should accept (e.g., text, numbers, lists, or dictionaries) and any additional context or details required to generate the desired output.

  3. Output: Describe the expected output format for the function, including any constraints or requirements such as word or character limits.

Here's an example of a function defined within a pseudoLang prompt:

Function Name: calculate_average
Description: Calculates the average of a list of numbers and returns the result. 

Input: 
 - A list of numbers (List[int]) 

Output:
 - The average of the list of numbers (float) 

In this example, the function name is "calculate_average," and it calculates the average of a list of numbers. The input requirement specifies that the input should be a list of numbers, and the output format is the average of the list of numbers as a float.

By following a consistent structure when defining functions within a pseudoLang prompt, you can ensure that ChatGPT can understand the function's requirements and generate relevant output. This approach allows you to define complex tasks and operations within your prompt, making managing and generating accurate and useful output easier.

PreviousLimitations and considerationsNextSpecifying Input Types and Output

Last updated 2 years ago

🏗️