Intermediate · Fundamentals

Prompt Compression

Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.

TL;DR. Techniques used to shorten or condense lengthy input prompts for LLMs while retaining essential information and instructions.

Technical Definition

Techniques used to shorten or condense lengthy input prompts for LLMs while retaining essential information and instructions.

How it works

Prompt compression is vital for managing token limits and improving efficiency in LLM interactions. It involves methods like summarization, rephrasing, or using dense representation techniques to reduce the verbosity of a prompt. By providing key information concisely, models can process prompts faster and potentially generate more focused responses, especially in resource-constrained environments.

Related Concepts

• Prompt Engineering — The art of crafting effective input instructions to guide LLM behavior without changing model weights.
• Context Window — The maximum number of tokens a model can process in a single input, determining information capacity.