Что думаешь? Оцени!
Что думаешь? Оцени!
Фото: Vantor / Handout via Reuters，这一点在搜狗输入法2026中也有详细论述
Nature, Published online: 03 March 2026; doi:10.1038/d41586-026-00662-1
，更多细节参见WPS下载最新地址
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.
本版邮箱：[email protected] （来稿请注明栏目名），这一点在币安_币安注册_币安下载中也有详细论述