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Advantages and disadvantages of hard labels + Path ③ Collaborative Distillation:
✅ Easy to implement / computationally inexpensive / also suitable for black-box APIs, very effective for instruction tuning / synthetic data generation
❌ Less information than soft labels, cannot see confidence levels and token relationships
Collaborative distillation: teacher and student train simultaneously, progress together, Meta trained Llama 4 Scout using this method, but training is more complex