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DeepSeek has released a new technical paper, which details a new method for how new AI models might rely on a queryable database of information committed to system memory. Named “Engram”, the conditional memory-based technique achieves demonstrably higher performance in long-context queries by committing sequences of data to static memory. This eases the reliance on reasoning for AI models, allowing the GPUs to only handle more complex tasks,…

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