Exploring self-distilled reasoning for supervised fine-tuning with Amazon Nova

The technique proposes a self-distilled reasoning approach for SFT, avoiding the need for costly manual chain-of-thought traces. It uses Amazon Nova models to generate reasoning traces from the model itself.