How would you design an AI system that supports incremental learning?

Designing an AI system for incremental learning involves several key components. First, the architecture should support online learning, allowing the model to update continuously as new data becomes available without requiring complete retraining. I would leverage algorithms such as Stochastic Gradient Descent (SGD) or use techniques like Transfer Learning to adapt to new data effectively. Additionally, maintaining a mechanism for monitoring model performance is crucial to prevent degradation over time. Implementing a buffer for recent data can help in sampling for learning while ensuring computational efficiency. Finally, I would establish protocols for data selection to prioritize high-quality and diverse samples for training to maximize learning effectiveness.