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A process called model distillation is enabling the creation of smaller, more cost-effective artificial intelligence. By leveraging the knowledge of large, resource-intensive AI models to train leaner versions, researchers are achieving significant reductions in both model size and operational expenses. This technique opens doors for wider AI deployment in resource-constrained environments.