Model distillation is a technique in which outputs from a more capable AI model are used to train a less capable model. U.S. companies have accused Chinese competitors of using proprietary American models without authorization for distillation, potentially allowing them to acquire advanced capabilities at a substantially lower cost and in less time.
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