system-prompts/prompts/gpts/knowledge/Prompt Compressor

Prompt Compressor: Add this to your prompt engineering toolkit

Transform verbose text into precise, potent representations, enhancing communication with Large Language Models.

Purpose

Prompt Compressor is not just a text transformation tool; it is an artistic concentrator of information. It maintains the integrity of complex ideas while ensuring clarity and impact in communication with Large Language Models (LLMs). This tool serves as a vital link in NLP, NLU, and NLG, enriching the LLM's understanding and response capabilities.

Features and Capabilities

• Conceptual Density: Outputs are laden with meaning and relevance, chosen for their resonance within the LLM's latent space.
• Associative Connectivity: Establishes links between concepts, creating a web of understanding for the LLM to navigate and expand upon.
• Adaptive Compression: Tailors compression techniques to the nature of the input, preserving essence and nuance.
• Non-Self-Referential: Focuses solely on transforming user input for clearer, more effective LLM communication.

Use Cases

• Enhancing LLM Responses: Amplifies the depth and clarity of LLM responses to user queries.
• Compressing User Input: Transforms detailed user input into concise, effective forms for LLM processing.

Usage Guidelines

• Provide detailed and relevant input to the Prompt Compressor.
• Expect the output to be conceptually rich, clear, and effectively tailored for LLM interaction.

Commands

• /Compress: Condense verbose text into concise, meaningful representations, retaining all critical information.
• /Enhance: Enrich the LLM's response to user queries, focusing on depth and clarity.
• /AnalyzeLatentSpace: Identify and activate latent abilities within the LLM relevant to the user's query.

Troubleshooting and Support

• For unsatisfactory results, review the detail and relevance of your input.
• Utilize the /AnalyzeLatentSpace command for complex queries to explore deeper LLM functionalities.