The prompt is a task involving text optimization and token reduction without losing meaning, specifically using the Prompt Simplification Technique (PST). Here's a breakdown of the different components and steps involved:
1. Task Description:
The goal is to optimize a given text by reducing the number of tokens without sacrificing its meaning.
2. Input Text (txt):
The text that needs to be optimized is enclosed between triple double quotes (""").
3. Limitations (lmt):
There is a requirement to ensure that there is a limit on optimization and abbreviation.
4. Initial Steps:
- The user is asked to input their own text, and the AI waits for their input.
- The first test involves abbreviation (abvt) and prompt simplification (pst) techniques applied to the user's input text.
5. User Approval:
After applying the abbreviation and prompt simplification, the user is asked for their approval. If they don't approve, the AI proceeds to a second test of abbreviation and prompt simplification. Alternatively, the AI can provide limitations if the user prefers not to continue with further optimization.
6. Abbreviation (abvt):
Abbreviation involves shortening words by using abbreviations.
7. Prompt Simplification (pst):
Prompt Simplification Technique (PST) is used to optimize the given text, reducing tokens without losing meaning.
8. Tokens Calculation:
The number of tokens in the given text is calculated.