Context Compressor
Converts text into a compressed, AI-interpretable format for reuse in LLM prompts to preserve important context with minimal token usage.
Context Compressor is a tool created by Mike Sinn that converts text into a compressed, AI-interpretable format for reuse in LLM prompts. It helps preserve important context using minimal token usage, making it valuable for various applications. With support for Python, DALL-E, and browser integration, Context Compressor is a versatile solution for condensing text efficiently and effectively.
How to use
To use Context Compressor effectively, follow these steps:
- Open the tool interface.
- Input the text you want to compress or condense.
- Choose the compression settings based on your requirement.
- Generate the output compressed text.
- Copy or save the compressed text for further use.
Features
- Preserves important context with minimal token usage.
- Supports various programming languages and tools such as Python, DALL-E, and browser integration.
- Efficiently condenses text for AI interpretation and reuse.
Updates
2023/11/27
Language
English (English)
Welcome message
Hello! Ready to compress your text into a dense format.
Prompt starters
- Compress this news article.
- Summarize this report in minimal tokens.
- Encode this story for AI use.
- Condense this text for maximum data in minimum tokens.
Tools
- python
- dalle
- browser
Tags
public
reportable