Robustness

Robustness refers to a model's resilience to changes, noise, or unexpected inputs. A robust model performs reliably across a range of scenarios, minimizing the risk of failure when faced with real-world complexities. Ensuring robustness involves techniques like adversarial training, regularization, and extensive validation on diverse datasets, which help to prepare the model for various conditions it may encounter in practice.