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AI Model Favors Wealthier, Western Stuff

AI Model Favors Wealthier, Western Stuff
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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 ,