Enable teacher–student curriculum learning in ML training pipeline

AI Impact Summary

The change introduces a teacher–student curriculum learning approach, where a teacher guides the student model with a progressively harder curriculum. This will impact the ML training pipeline by requiring a teacher model, curriculum scheduling, and data-generation or annotation workflows, plus new evaluation hooks to monitor curriculum progress. If tuned poorly, convergence can slow or underfit; when properly calibrated, it can improve generalization and data efficiency, reducing labeled data needs for complex tasks.