Exploring Self-Distilled Reasoning for Supervised Fine-Tuning with Amazon Nova
AWS introduces Self-Distilled Reasoning (SDR), a method for generating thinking tokens in datasets that lack reasoning traces during supervised fine-tuning. SDR addresses the reasoning suppression problem and is validated across three benchmarks.
Why it matters: This technique could enhance the reasoning abilities of fine-tuned models without the need for costly human-annotated reasoning data.
Full story at: AWS Machine Learning Blog ↗