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最新消息:由DeepSeek主导的研究表明,大型语言模型在试图重建Transformer中的静态知识时,浪费了过多的计算资源。
他们的解决方案是Engram,一种结合了O(1)搜索和MoE架构的条件记忆模块,在内部测试中显示在知识、推理、编程、数学和长上下文任务方面有所提升。