Model Training
Knowledge Distillation
Transferring the intelligence of a large, expensive AI model into a smaller, cheaper one that can run anywhere.
Definition
A compression technique where a compact "student" model learns to reproduce the behavior of a larger "teacher" model. The student learns from soft probability distributions rather than hard labels.
Why it matters
Enables running enterprise-grade AI on edge devices, reducing cloud costs by 10-100x.
Related terms in Model Training
Adversarial Training
Teaching an AI to defend itself by constantly attacking it with tricky or malicious inputs during training.
Autoencoders
A neural network that learns to compress data into a small code and then unzip it back to the original.
Distillation (Model Distillation)
Teaching a small, fast AI model to mimic a large, expensive one, so you get similar results at a fraction of the cost.
Dropout
Randomly turning off some neurons during training so the AI doesn't over-memorize and can generalize better.
From vocabulary to outcomes
Ready to put Knowledge Distillation to work?
Knowing the term is step one. Deploying it inside a revenue architecture that compounds is what Sophizo builds.
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