Data-Efficient Knowledge Distillation for Supervised Fine-Tuning with NVIDIA NeMo-Aligner – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-05-16T23:50:38Z http://www.open-lab.net/blog/feed/ Anna Shors <![CDATA[Data-Efficient Knowledge Distillation for Supervised Fine-Tuning with NVIDIA NeMo-Aligner]]> http://www.open-lab.net/blog/?p=94082 2024-12-18T01:43:12Z 2024-12-18T01:43:09Z Knowledge distillation is an approach for transferring the knowledge of a much larger teacher model to a smaller student model, ideally yielding a compact,...]]> Knowledge distillation is an approach for transferring the knowledge of a much larger teacher model to a smaller student model, ideally yielding a compact,...Icon image of a chart and search symbol, on a purple background.

Knowledge distillation is an approach for transferring the knowledge of a much larger teacher model to a smaller student model, ideally yielding a compact, easily deployable student with comparable accuracy to the teacher. Knowledge distillation has gained popularity in pretraining settings, but there are fewer resources available for performing knowledge distillation during supervised fine-tuning��

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