in a lambda, we can delay evaluation in both of these cases. (The
Последние новости
，这一点在PDF资料中也有详细论述
In voice systems, receiving the first LLM token is the moment the entire pipeline can begin moving. The TTFT accounts for more than half of the total latency, so choosing a latency-optimised inference setup like Groq made the biggest difference. Model size also seems to matter: larger models may be required for some complex use cases, but they also impose a latency cost that's very noticeable in conversational settings. The right model depends on the job, but TTFT is the metric that actually matters.。快连官网对此有专业解读
Фото: Станислав Красильников / РИА Новости