📖 Step 9: AI/LLM#277 / 291
Model Distillation
Model Distillation
📖One-line summary
Transferring a large model's knowledge into a smaller one to gain speed and cost savings.
💡Easy explanation
A training method where a big model teaches a small one its knowledge. The shrunken model becomes faster and cheaper.
✨Example
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Big model
→ Transfer knowledge →
🐭
Small model
The smaller model is faster and cheaper
⚡Vibe coding prompt examples
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Design a data-collection and training pipeline for distilling GPT-4-level answers into a small open-source model.
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Recommend metrics and an eval set for verifying distillation quality.
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Build an internal-distillation checklist covering model license and data-usage terms.
Try these prompts in your AI coding assistant!