Continue reading...
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.
，推荐阅读51吃瓜获取更多信息
02 伊朗：芯片用在“刀刃”上相对于以色列，伊朗的半导体产业相对落后，无法直接获得先进制程的芯片，伊朗的半导体与其政治策略高度契合，追求针对性、军事化的自给自足。
Фото: DanitaDelimont.com / Global Look Press
const stack = []; // 单调递增栈：存储每个独立车队的到达时间