Mixture of experts MoE is a deep learning model architecture in which computational cost is sublinear to the number of parameters, making scaling easier. Nowadays, MoE is the only approach demonstrated to scale deep learning models to trillion plus parameters, paving the way for models capable of learning even more information and powering computer vision, speech recognition, natural language processing, and machine translation systems, among others, that can help people and organizations in new...

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