Google DeepMind Presents Mixture-of-Depths: Optimizing Transformer Models for Dynamic Resource Allocation and Enhanced Computational Sustainability

The transformer model has emerged as a cornerstone technology in AI, revolutionizing tasks such as language processing and machine translation. These models allocate computational resources uniformly across input sequences, a method that, while straightforward, overlooks the nuanced variability in the computational demands of different parts of the data. This one-size-fits-all approach often leads to inefficiencies, […]

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