⏱️ 6 min read
Architecting Ultra-Low Latency Voice AI Agents with Pipecat & SileroVAD
How we reduced end-to-end voice turnaround time from 1.8s down to sub-500ms for natural, human-like telephone conversations.
Thoughts on GenAI, low-latency Voice AI Agents, LLM fine-tuning, and distributed backend platforms.
How we reduced end-to-end voice turnaround time from 1.8s down to sub-500ms for natural, human-like telephone conversations.
Practical benchmarks and lessons fine-tuning Whisper and Conformer models on specialized enterprise vocabulary with 75% less VRAM.
Architecting production-ready AI agents with 85%+ resolution rates using state machine checkpoints, schema validation, and guardrails.