Distillation vs Fine-tuning
Distillation (Model Distillation) and Fine-tuning (Model Fine-tuning) both come up in ai & ml conversations and get confused. Here's the plain-English difference, side by side, so you can use each one with confidence.
The key difference: Distillation refers to model distillation, while Fine-tuning refers to model fine-tuning — they describe different things even when they show up in the same sentence.
Distillation — Model Distillation
Training a smaller "student" model to mimic a larger "teacher" model. Distillation is how you take a flagship-quality experience and ship it at a price you can defend in a P&L.
Full Distillation definition →
Fine-tuning — Model Fine-tuning
Continuing the training of a pre-trained model on your own data to specialize its behavior. Powerful, but often the wrong first move — prompt engineering and retrieval usually beat fine-tuning on cost and time-to-value.
When to use Distillation
Reach for "Distillation" when the conversation is specifically about model distillation. Training a smaller "student" model to mimic a larger "teacher" model. Distillation is how you take a flagship-quality experience and ship it at a price you can defend in a P&L.
When to use Fine-tuning
Reach for "Fine-tuning" when the conversation is specifically about model fine-tuning. Continuing the training of a pre-trained model on your own data to specialize its behavior. Powerful, but often the wrong first move — prompt engineering and retrieval usually beat fine-tuning on cost and time-to-value.
FAQs
What is the difference between Distillation and Fine-tuning?
Distillation stands for Model Distillation — Training a smaller "student" model to mimic a larger "teacher" model. Distillation is how you take a flagship-quality experience and ship it at a price you can defend in a P&L. Fine-tuning stands for Model Fine-tuning — Continuing the training of a pre-trained model on your own data to specialize its behavior. Powerful, but often the wrong first move — prompt engineering and retrieval usually beat fine-tuning on cost and time-to-value.
Are Distillation and Fine-tuning the same thing?
No. They're often used in the same conversation because they're related, but they describe different concepts. Distillation = Model Distillation. Fine-tuning = Model Fine-tuning.
When should I use Distillation vs Fine-tuning?
Use Distillation when you're specifically referring to model distillation. Use Fine-tuning when the topic is model fine-tuning.