SSD: Self-Distillation for Code Generation Without a Teacher

from Mastering Language Models: From Architecture to Optimization

A post-training efficiency episode on simple self-distillation: using a model’s own sampled code outputs as supervised fine-tuning data without a verifier, teacher, or reinforcement learning.

Episode metadata supplied by the publisher feed · Published Apr 26, 2026

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SSD: Self-Distillation for Code Generation Without a Teacher

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This episode was published on April 26, 2026.

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