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记忆层增强的 Transformer 架构:通过可训练键值存储提升 LLM 性能的 ...
点击上方“Deephub Imba”,关注公众号,好文章不错过 !大语言模型(LLM)通过其参数储存了大量信息,这些信息主要以密集层中线性矩阵变换的权重形式存在。然而,参数规模的扩大必然导致计算成本和能源消耗的显著增加。这种参数存储方式是否可以通过更高效的键值查找机制来优化?尽管此前已有多项相关研究,但在当前 AI ...
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