为了证明大语言模型这种独有的攻击手段能够在百万级别的用户数据库中自动运行，研究团队没有像日常对话一样依赖简单的提示词进行验证，而是专门设计了一套模块化流水线，名为ESRC框架。
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.
，更多细节参见WPS下载最新地址
Yellow: A trick up their sleeve
В Европе рассказали о страхе из-за конфликта вокруг Ирана02:40