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.
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ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45。关于这个话题，体育直播提供了深入分析
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英國人在當地被要求向外交部登記，目前已有超過7.6萬人登記，大多位於阿聯酋。
Min Hee-jin said she "can no longer bear to watch" NewJeans get "torn apart" when its five members "should instead be standing happily on stage".。业内人士推荐体育直播作为进阶阅读