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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于是，愧疚找到了出口，焦虑遇见了同频，孤独撞上了温暖。一段简短的回应，一条共情的评论，便足以让紧绷的心灵瞬间松弛，让漂泊的情绪获得慰藉。“赛博忏悔室”的走红，本质是现实情绪疏导渠道不足的代偿，是年轻人在压力之下，最温柔也最无奈的自我疗愈。
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