Model Performance

Double descent refers to a phenomenon in machine learning where model performance improves after overfitting.

A model bottleneck occurs when a model's performance is limited by a specific layer or component in its architecture.

Model Efficiency refers to how effectively an AI model performs tasks relative to its resource consumption.