Building Responsive AI Agents with Real-Time Communication

This session will discuss the importance of real-time communication for natural, responsive, and realistic interactions with voice AI agents, with a focus on high-bandwidth, low-latency delivery and extensibility for custom AI-driven workflows.

Attendees will learn how to:
Connect to any LLM with low-latency
Implement real-time architecture for the transport layer
Create more natural interaction with interruption handling and turn detection

This session will empower you to start building more engaging voice AI agents for use cases ranging from customer service to teaching assistants.

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