For comparison, the equivalent configuration in Vapi - using the same STT, LLM, and TTS models - estimates around ~840ms. In this setup, the custom orchestration actually beats Vapi's own estimates by about 50ms.
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Prompt injectionIn prompt injection attacks, bad actors engineer AI training material to manipulate the output. For instance, they could hide commands in metadata and essentially trick LLMs into sharing offensive responses, issuing unwarranted refunds, or disclosing private data. According to the National Cyber Security Centre in the UK, "Prompt injection attacks are one of the most widely reported weaknesses in LLMs."。WPS下载最新地址对此有专业解读
Фото: Daniel Becerril / Reuters。91视频对此有专业解读
sort :: OrdDict a - [a] - [a]. Ben Lynn's compiler and MicroHs both use
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