Knowledge Distillation: Large to Small
Train a small, fast model to mimic a large teacher model — the economics, pipeline, and quality filters for production distillation.
Knowledge Distillation (Large to Small)
Distillation trains a smaller "student" model to mimic a larger "teacher" model. The goal: get 80-95% of GPT-4/Claude quality from a model that's 10-50x cheaper and faster to run.
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