Mini toolsDefinition
A training strategy where models learn progressively from easier to harder examples similar to how humans learn. This approach often leads to better final performance and faster convergence.
Detailed Explanation
Curriculum learning structures the training process by presenting examples in a meaningful order typically from simple to complex. The curriculum can be based on various difficulty metrics like sample complexity noise levels or task-specific criteria. This approach helps models build foundational understanding before tackling more complex concepts often resulting in better generalization and more stable training dynamics.
Use Cases
Language model training Computer vision tasks Robotics learning Educational AI systems
