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Explore a comprehensive conference talk that demonstrates building a complete open-source edge AI solution using Rust-based technologies. Learn how to break free from proprietary cloud services and black-box APIs by implementing a full-stack, end-to-end system that provides complete control over your AI pipeline. Discover the process of transforming edge hardware devices into interactive voice AI agents through a complete workflow encompassing Voice Activity Detection (VAD), Automatic Speech Recognition (ASR), LLM-powered reasoning, and Text-to-Speech (TTS) capabilities on self-hosted infrastructure. Examine the entirely open-source stack including Rust firmware for edge devices, Rust-based AI agent servers for model coordination and management, and plug-and-play integration with open LLMs, speech models, and MCP calling functionality. Gain practical insights into building customizable and extensible AI voice agents using open-source frameworks while understanding how open hardware and software combinations benefit AI learning communities, maker communities, and product development teams.
