A technique that allows developers to shrink powerful artificial intelligence models into cheaper, more efficient systems has become the latest battleground in the intensifying US-China race for AI dominance.
Known as model distillation, the method uses the outputs of a powerful AI system to train a smaller model that can perform some of the same tasks with fewer computing resources.
