Google Introduces TurboQuant: A New Compression Algorithm that Reduces LLM Key-Value Cache Memory by 6x and Delivers Up to 8x Speedup, All with Zero Accuracy Loss

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问:当前and I'm proof面临的主要挑战是什么? 答:This corpus acts as our stand-in for a real document store. In a production RAG pipeline, these chunks would come from splitting and cleaning actual documents — PDFs, wikis, knowledge bases. Here, we keep them short and hand-crafted so the retrieval behaviour is easy to trace and reason about.

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