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Prompt Engineering Embraces New Essay-Compression Technique That Expands On Getting Very Constructive Generative AI Results

A new prompting technique in generative AI to compress essays and other text is handy and a good addition to prompt engineering skillsets. Here s what you need to know. ....

United States , United Kingdom , Alex Mitchell , John Morley , H Vicky Zhao , Xufang Luo , Huiqiang Jiang , Zhuoshi Pan , Qingwei Lin , Menglin Xia , Yuqing Yang , Lili Qiu , Dongmei Zhang , Abraham Lincoln , Star Trek , Data Distillation , Faithful Task Agnostic Prompt , Jue Zhang , Chin Yew Lin , In Context Learning , Retrieval Augmented Generation , Big Bench Hard , City Manager Recommendation , Victory Pace , California Hero , Task Agnostic Template ,

GitHub - microsoft/LLMLingua: To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss. - GitHub - microsoft/LLMLingua: To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss. ....

Llmlingua Longllmlingua , Yuqing Yang , Xufang Luo , Qianhui Wu , Lili Qiu , Huiqiang Jiang , Dongsheng Li , Association For Computational Linguistics , Compressing Prompts , Accelerated Inference , Large Language Models , Chin Yew Lin , Long Context Scenarios , Prompt Compression , Under Review , Large Language , Empirical Methods , Natural Language , Online Meeting , Contributor License Agreement , Microsoft Open Source Code ,