The Sequence Scope: The MoE Momentum

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📝 Editorial: The MoE Momentum

Massively large neural networks seem to be the pattern to follow these days in the deep learning space. The size and complexity of deep learning models are reaching unimaginable levels, particularly in models that try to master multiple tasks. Such large models are not only difficult to understand but incredibly challenging to train and run without incurring significant computational expenses. In recent years, Mixture of experts (MoE) has emerged as one of the most efficient techniques to build and train large multi-task models. While MoE is not necessarily a novel ML technique, it has certainly experienced a renaissance with the rapid emergence of massively large deep learning models.