[&:first-child]:overflow-hidden [&:first-child]:max-h-full"
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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I didn’t expect this classification task to be so simple—simple enough that a Hello World-level scikit-learn script, with minimal tweaks and some hard-coded rules, could produce a reasonably robust and accurate detector. Most of the effort was just waiting for LLMs to generate data…
The Fusion camera delivers 48MP of resolution for capturing fine details.
Константин Лысяков (Редактор отдела «Россия»)