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This article introduces how the UniSD framework allows large language models to learn from their own high-quality generated outputs through a unified self-distillation mechanism, achieving self-improvement of model capabilities and knowledge internalization.
Section 01
This article introduces how the UniSD framework allows large language models to learn from their own high-quality generated outputs through a unified self-distillation mechanism, achieving self-improvement of model capabilities and knowledge internalization.
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