Expired70% confidenceFactTime unknown
The latency of large language model inference typically ranges from hundreds of milliseconds to several seconds, far higher than that of traditional database queries.
2
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
Valid until: 9/30/2026(expired)
Sources
Related Claims
UnverifiedThe larger the parameters of a large language model, the higher the computational requirements for a single forward inference pass, and latency increases accordingly.79% similarUnverifiedQuery optimization must be completed in milliseconds; spending hundreds of milliseconds on model inference to generate a better plan is counterproductive in most online query scenarios.73% similarUnverified将高频连续控制信号映射到低带宽语言空间会引入LLM推理数十至数百毫秒延迟，对实时任务是致命缺陷73% similarUnverifiedTraditional parallel retrieval is fast but often sacrifices accuracy, while sequential search yields more precise results but introduces noticeable latency.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/60726API
curl https://kongchang.com/api/v1/knowledge/claims/60726MCP
get_claim(id=60726)