ML Platform enables Teacher-Student Curriculum Learning in training workflows

AI Impact Summary

The ML platform now exposes a Teacher-Student curriculum learning capability, enabling a teacher model to guide a student model's training with a progressive curriculum. This can improve sample efficiency and generalization on complex tasks, but introduces dependencies on the teacher model and a curriculum generator, plus potential compute overhead for curriculum scaffolding and monitoring. Teams should wire curriculum hooks into the training workflow, add metrics for curriculum progression and student-teacher alignment, and plan for rollback if the curriculum degrades convergence or inflates training time.