LLMLingua
Effectively Deliver Information to LLMs via Prompt Compression
微软研究院博客
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In this issue: New research on appropriate reliance on generative AI; Power management opportunities for LLMs in the cloud; LLMLingua-2 improves task-agnostic prompt compression; Enhancing COMET to embrace under-resourced African languages:
| Huiqiang Jiang, Qianhui Wu, Chin-Yew Lin, Yuqing Yang, 和 Lili Qiu
Advanced prompting technologies for LLMs can lead to excessively long prompts, causing issues. Learn how LLMLingua compresses prompts up to 20x, maintaining quality, reducing latency, and supporting improved UX.