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Explore the Beaconforge.org framework in this 30-minute conference talk that introduces an emerging standard for enabling conversational assistants to interact with each other through standardized agentic inter-assistant messages utilizing NLP Universal APIs. Learn how this framework, developed by the Voiceinteroperability.ai Project of the LF AI and Data Foundation, addresses one of the most critical challenges in generative AI: hallucination mitigation. Discover the empirical research methodology involving hundreds of diverse prompts, chains of multiple agents, and four novel KPIs designed to evaluate hallucination score mitigation effectiveness. Gain insights into how agentic AI frameworks can improve the reliability and accuracy of conversational AI systems through inter-agent communication protocols. Understand the technical foundations of conversational AI multi-agent interoperability and universal open APIs for agentic natural language multimodal communications, supported by comprehensive research findings published in peer-reviewed papers on hallucination mitigation and conversational AI interoperability.
