Google Research introduces TurboQuant compression algorithm to optimize LLM inference efficiency.
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According to ME News, on March 26 (UTC+8), Google Research announced a new compression algorithm called TurboQuant. This algorithm aims to optimize the inference efficiency of Large Language Models (LLMs), reportedly reducing the memory footprint of LLM key-value caches by at least 6 times, increasing inference speed by up to 8 times, and achieving zero precision loss. The article describes the technology as "redefining AI efficiency." (Source: ME)
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