Milliseid prompti kokkusurumise tehnikaid teate (LLMLingua)?

Prompt compression refers to techniques for shortening or optimizing input requests (prompts) for large language models (LLMs) to reduce their length and increase efficiency without loss of response quality. Main methods:

• Removing redundant information: eliminate repeated or non-essential parts of the text.
• Using abbreviations and acronyms: replace long phrases with short, understandable versions for the model.
• Rephrasing: rewrite the request more compactly, preserving the meaning.
• Using contextual links: instead of repeating information, use links to previously provided data.
• Encoding or compression: apply special formats or tokenization to reduce size.

These methods help reduce token consumption and speed up processing, which is important when working with model limitations and query costs.