The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...
The compression algorithm works by shrinking the data stored by large language models, with Google’s research finding that it can reduce memory usage by at least six times “with zero accuracy loss.” [ ...
Microsoft has conducted tests, such as the Weissman Score introduced by the TV show Silicon Valley, on Google's Brotli. It's endorsed the compression algorithm and announced an alpha preview for .NET.
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