RealFeedApp beta
- Output compression reduces realized cost by 1.4–2.4x
The CAVEWOMAN protocol demonstrates that output compression reduces realized cost by 1.4–3x, while input compression creates a strict lose-lose scenario.
- Field
- training language models
- What they did
- Researchers developed a methodology to evaluate how text compression affects large language models, showing that compressing the response reduces actual computation costs, while compressing the request degrades the result.
- Why it matters
- This allows developers and users to understand how to optimize computation expenses without losing answer accuracy, by choosing to compress only part of the communication.
#llm#compression#cost#inference#api
