Unverified88% confidenceFactExact time
Context Caching功能可以显著减少首Token生成时间（Time to First Token）
1
Sources
88%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedKV Cache reduces latency and computing resource consumption in long-sequence generation by caching the attention key-value pairs of historical tokens, avoiding repeated computation over the entire historical sequence at each generation step.64% similarUnverifiedTimesFM adopts patch-based tokenization, packing several consecutive time steps into a patch and treating it as a single token, similar to the image patch strategy used by ViT.61% similarUnverified在系统提示词中插入动态时间戳会导致缓存失效60% similarUnverified对于单用户交互式场景推理速度达到5-10 token/s通常就能提供流畅体验，而代码生成、长文档摘要或多轮Agent调用往往需要30 token/s以上59% similar
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