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Scott McGrath
smcgrath.phd
did:plc:lrzkd5exmxqrblbruvjieofj
Apple researchers studied when to distill a smaller AI model from a larger one vs. when to fine-tune directly.
Findings :
• Distillation is best when compute is limited or training multiple models
• Fine-tuning wins when data is abundant
• A teacher that’s too smart can hinder learning
🩺🖥️ #MLSky
https://arxiv.org/abs/2502.08606
2025-02-17T14:51:03.952Z