The Polly

The Polly model, which stands for "Predictive, Observational, and Learning Loop," is a framework used in artificial intelligence and machine learning to improve decision-making systems. It emphasizes continuous learning from real-world data by observing outcomes, predicting future events, and adapting strategies accordingly. This cyclical process helps systems become more accurate and efficient over time, much like how humans learn from experience. By integrating prediction, observation, and learning, the Polly model supports the development of autonomous systems that can adjust to changing environments and make better-informed decisions without needing constant human intervention.