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knowledge-distillation

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<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT -->
---
name: knowledge-distillation
description: Knowledge distillation techniques for model compression. Use when transferring knowledge from large teacher models to smaller student models.
tags: [knowledge-distillation, emerging, research, compression]
---

# Knowledge Distillation: Compressing LLMs

## When to Use This Skill

Use Knowledge Distillation when you need to:
- **Compress models** from 70B → 7B while retaining 90%+ performance
- **Transfer capabilities** from proprietary models (GPT-4) to open-source (LLaMA, Mistral)
- **Reduce inference costs** by deploying smaller student models
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