Calculate the knowledge distillation effectiveness using KL divergence between teacher and student probability distributions. Optimize temperature parameter and loss weighting to maximize student model quality at a given size.
Calculate the knowledge distillation effectiveness using KL divergence between teacher and student probability distributions. Optimize temperature parameter and loss weighting to maximize student model quality at a given size
Each component has a specific meaning:
Note: Interpret the distillation kl divergence result against the clinical thresholds and context described above.
Enter the KL divergence between teacher, student probability distributions for the patient or scenario you are assessing. Calculate the knowledge distillation effectiveness using KL divergence between teacher and student probability distributions. Optimize temperature parameter and loss weighting to maximize student model quality at a given size. Use the distillation kl divergence result to inform your clinical assessment.