Chinese researchers let LLMs share meaning through internal memory instead of text
A research team in China has built a new way for large language models to talk to each other using their internal memory, instead of relying on text. This cache-to-cache (C2C) method lets models share information faster and more accurately.<br /> The article Chinese researchers let LLMs share meaning through internal memory instead of text appeared first on THE DECODER. [...]
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