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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Defining Input and Output Requirements

Specifying the types of inputs a function should accept and the desired output format is essential to help ChatGPT understand the task at hand and generate relevant responses. By clearly defining the input and output requirements, you can guide the AI to focus on the relevant information and structure its output appropriately.

  1. Input: Specify the types of inputs the function should accept, such as text, numbers, lists, or dictionaries. This helps the AI understand the data it's working with and process it appropriately.

  2. Input format: Describe the expected format of the input, such as the length of the text, the range of numbers, or the structure of the list. This helps ensure that the AI can understand and process the input effectively.

  3. Output: Describe the desired output format, such as a list, a summary, or a comparison. This helps the AI understand the desired outcome and structure its output appropriately.

  4. Output format: Specify any constraints or requirements for the output format, such as the summary length or the list format. This helps ensure that the AI generates output that meets the desired requirements.

Here's an example of a prompt that specifies input and output requirements:

Task: Summarize a research paper on the effects of climate change on polar bear populations. 

Input: 
- A link to the research paper 
- Additional context: The summary should be no more than 300 words. 

Output: 
- A summary of the research paper highlighting the key findings and conclusions. 
- The summary should be no more than 300 words.

In this example, the prompt specifies that the function should accept a link to the research paper as input, and the summary should be no more than 300 words. The output requirements specify that the summary should highlight the key findings and conclusions and also be no more than 300 words.

By specifying the types of inputs and the desired output format, you can help ChatGPT understand the task at hand and generate more relevant and useful output. This approach ensures that the AI's output meets the desired requirements and saves time in the process.

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Last updated 1 year ago