AI / ML

Agentic Monitoring

The article discusses the concept of 'Agentic Monitoring', a technique developed by researchers at the University of California, Berkeley, to analyze and understand the behavior of autonomous systems. The approach involves creating a 'monitoring system' that can observe and learn from the behavior of the autonomous system, and then use this knowledge to improve its decision-making. The researchers tested the technique on a simulated autonomous vehicle and a real-world autonomous drone, achieving significant improvements in performance. The article highlights the potential of Agentic Monitoring to improve the reliability and safety of autonomous systems. The technique is still in its early stages, and more research is needed to fully understand its implications.

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