Knowledge Distillation
orchestra-research/ai-research-skills/19-emerging-techniques/knowledge-distillationby orchestra-research773a52944ba4MIT13K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 months ago
Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/minillm.md | 8.9 KB | text/markdown |
| SKILL.md | 13.3 KB | text/markdown |
Source and attribution
Source:orchestra-research/ai-research-skillsin19-emerging-techniques/knowledge-distillationat commit773a529
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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