Chain of Operators: An Inference-Time Harness for In-Context Operator Learning
The discussion of "Chain of Operators" covers a method to solve generalization issues in AI models. It replaces single predictions with a sequence of explicit transformations, allowing the system to handle complex, multi-scale physics. This framework is highly scalable and robust, enabling efficient simulations without needing constant model retraining.