Unverified50% confidenceSolutionExact time
潜在缓存技术将LLM推理中的KV Cache思想迁移至训练阶段，对轨迹历史帧预先提取潜在表示并缓存
1
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50%
Confidence
Long-term
Relevance
7/17/2026
First Seen
Sources
Related Claims
Unverified潜在缓存技术源于大语言模型中的KV Cache机制，Mistral将其从推理阶段迁移至训练阶段80% similarVerifiedThe autoregressive generation process of reasoning models is strictly sequential; KV Cache VRAM usage grows linearly with the length of the thinking token sequence, making memory bandwidth the performance bottleneck.72% similarUnverified上下文缓存技术底层依赖KV Cache机制，是vLLM、TensorRT-LLM等主流推理框架的核心优化之一72% similarUnverifiedMLP层充当模型的长期事实记忆库，其键值对是预训练阶段固化在权重中的静态参数71% similar
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