Transformers in Machine Learning

Transformer is a neural network architecture introduced in the 2017 paper "Attention is All You Need" by Vaswani et al. It uses self-attention to process entire sentences at once, a major shift from older models like RNNs and LSTMs. Transformers have been widely adopted for various machine learning tasks, particularly in NLP. This article explores the architecture, working, and applications of transformers. Discover how transformers are revolutionizing machine learning tasks beyond NLP.

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