Sparse experts is a machine learning technique where only a fraction of a model’s parameters activate per input, boosting efficiency and scalability. Used in large language models and recommendation systems, it reduces computational costs while maintaining accuracy. Developers and researchers benefit from faster training and inference, enabling powerful AI on limited hardware.
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