for (Tuple t : R) {
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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.。服务器推荐对此有专业解读
会议表决通过了全国人大常委会代表资格审查委员会关于个别代表的代表资格的报告。