What is Model Distillation?
labelbox.com · 1,670 words · saved by 1 readers
Model distillation compresses large models for deployment, transferring knowledge from a teacher to a smaller student model efficiently.
AI models are increasingly getting bigger with the increase in training data and the number of parameters. For instance, the latest Open AI’s GPT-4 model is estimated to have about 1.76 trillion parameters and terabytes of training corpus. Whether training large language models (LLMs) or neural networks, the main goal remains: to train using as much data as possible. While training from diverse data and increasing the number of parameters produces powerful models, real-world application becomes challenging. Deploying larger and larger models to edge devices like mobile phones and smart…
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