A New AI Research from Apple and Equall AI Uncovers Redundancies in Transformer Architecture: How Streamlining the Feed Forward Network Boosts Efficiency and Accuracy

Transformer design that has recently become popular has taken over as the standard method for Natural Language Processing (NLP) activities, particularly Machine Translation (MT). This architecture has displayed impressive scaling qualities, which means that adding more model parameters results in better performance on a variety of NLP tasks. A number of studies and investigations have […]

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