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Explore the technical foundations and scaling strategies for building AI agent swarms capable of handling real-time voice interactions with sub-second latency in this comprehensive conference talk. Learn best practices for implementing multimodal AI agents that integrate low-latency speech-to-text processing, large language model RAG (Retrieval-Augmented Generation), fine-tuning techniques, and text-to-speech synthesis. Discover how to architect systems that can scale from individual conversations to supporting thousands or millions of concurrent voice interactions simultaneously. Gain hands-on insights through open-source code demonstrations showing the complete pipeline for creating conversational AI agents with end-to-end latency optimization. Master the technical considerations for speech processing, model integration, and infrastructure scaling while understanding the practical challenges of deploying real-time voice AI systems at enterprise scale. Access provided GitHub repositories containing both client-side and server-side implementations to build upon the concepts presented, with requirements including basic web development tools and audio hardware for testing voice interactions.
