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
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  1. Advanced pseudoLang Techniques

Creating Custom Functions

Designing custom pseudoLang functions tailored to your specific needs allows you to maximize the potential of ChatGPT by creating functions that are relevant to your tasks or industry. You can achieve this by combining existing functions or developing entirely new ones. Custom functions help guide the AI to generate more focused and useful responses for your particular context.

  1. Combining existing functions: Identity the existing functions that are related to your needs and can be combined to create a new, more specific function. For example, if you're working on a research project and need a function that searches for relevant literature and summarizes key findings, you can combine the literature_search and summarize functions to create a custom search_and_summarize function.

  2. Developing new functions: If no existing functions suit your needs, create an entirely new function. Think about the input parameters, the desired output format, and the steps the AI needs to follow to complete the task. Clearly define the function's purpose and provide sufficient detail to guide the AI in generating relevant responses.

Here's an example of a custom pseudoLang function for a specific need in a marketing context:

Define function `analyze_campaign_data(data: dict) -> dict`: 
a. Extract the key performance indicators (KPIs) from the campaign data 
b. Calculate the return on investment (ROI) based on campaign cost and revenue 
c. Identify the best-performing and worst-performing marketing channels 
d. Generate insights and recommendations for future campaigns 
e. Return a dictionary containing the analyzed KPIs, ROI, channel performance, and recommendations 

In this example, the custom function analyze_campaign_data is designed to process and analyze marketing campaign data to generate insights and recommendations. It's tailored to the specific needs of a marketing professional, ensuring the generated output is both relevant and useful.

By designing custom pseudoLang functions that cater to your specific needs, you can effectively guide ChatGPT to provide more targeted and valuable responses, enhancing its utility for your tasks or industry.

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Last updated 2 years ago

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