В КСИР выступили с жестким обращением к США и Израилю22:46
（四）为已被依法依规采取封禁等措施的网络账号提供解封等技术支持或者帮助的；
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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.