Summary:
- This article discusses how distillation, a technique used in machine learning, can make AI models smaller and more efficient.
- Distillation involves taking a large, complex AI model and using it to train a smaller, simpler model, which can then be deployed more easily and cheaply.
- The smaller model is able to perform tasks almost as well as the larger one, making it a useful tool for deploying AI in resource-constrained environments like mobile devices or edge computing.