Unverified50% confidenceTradeoffExact time
Running large language model inference or safety analysis inside a TEE typically results in significant increases in latency and decreases in throughput.
1
Sources
50%
Confidence
Long-term
Relevance
8/30/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe cost and latency of applying large language models to real-time security moderation remain major obstacles, resulting in a capability gap between the security layer and the generation layer.76% similarVerifiedIncremental Prompting can reduce hallucinations and logical errors in large language models when processing complex instructions72% similarUnverified在长对话中早期的错误尝试和调试过程会持续占据上下文窗口，造成上下文污染并干扰后续推理准确性71% similarUnverifiedDoubao TTS exhibits an over-response problem in speech rate control, where synthesized output may become abnormally slow when slow speed and emphasis requirements are annotated simultaneously.70% similarUnverifiedThe latency of large language model inference typically ranges from hundreds of milliseconds to several seconds, far higher than that of traditional database queries.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/823974API
curl https://kongchang.com/api/v1/knowledge/claims/823974MCP
get_claim(id=823974)