Knowledge Distillation Without Fine-Tuning: Extracting Frontier Model Capabilities Into Cheaper Inference Paths
A practical decision framework for AI engineers on when distilling frontier model capabilities into smaller student models actually pays off—and when it silently fails on out-of-distribution inputs.
ai-engineering
llm
model-optimization
cost-optimization
