A process where AI models learn by mimicking larger, more capable "teacher" models, the distillation debate centers on whether this efficiency-boosting technique compromises originality or merely accelerates progress. Developers use it to create smaller, faster, and cheaper models for edge devices, while startups benefit from reduced costs. Ultimately, researchers and enterprises gain, though purists question its impact on innovation.
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