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Deepseek Proposes Conditional Memory so that Ai Models Better Reason with Less Waste
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A research led by DeepSeek suggests that large language models are wasting too much computing by trying to rebuild static knowledge within the Transformer. Their answer is Engram, a conditional memory module that combines O(1) searches with MoE architecture, and that in internal tests showed improvements in knowledge, reasoning, programming, mathematics and long-context tasks. *** The work proposes “conditional memory” as a new dispersion axis f…
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