Tag: small-models

What Is Model Distillation? Distillation is a technique designed to transfer knowledge of a large pre-trained model (the “teacher”) into a smaller model (the “student”), enabling the student model to achieve comparable performance to the teacher model. Here’s the key insight: large models like GPT-4 are expensive to run. They need massive GPU clusters, consume…