Model Distillation: A New Technique Boosting AI Competition

Model distillation has emerged as a key tool for developers to reduce the size of AI models, making them more efficient and cost-effective. This technique relies on using outputs from a large model to train a smaller one, intensifying competition between the US and China. Advanced models require substantial resources, but model distillation enables the creation of smaller systems that can operate efficiently on less powerful devices. This makes them appealing to companies and governments looking to expand AI use across various sectors.