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Architecting Reliable Agentic AI | Cisco’s Giovanna Carofiglio on the AGNTCY Collective

Chain of Thought

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Navigating Latency in AI Evaluations

This chapter explores the challenges and innovations in reducing latency within AI systems, focusing on the development of the Luna evaluation models by Galileo. It discusses the importance of low-latency communication, real-time feedback, and the integration of synthetic datasets to optimize AI performance and adaptability. The conversation emphasizes the future of agentic AI, highlighting the potential for systems that can continuously improve through innovative evaluation methods.

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