Recurrent Neural Network, Rnn, Transformers, Data Science, Machine Learning.
paradigm shift in sequence processing. Unlike RNNs, Transformers rely on self-attention mechanisms to weigh the importance of different elements in a sequence. This attention mechanism allows Transformers to capture relationships across distant positions, effectively mitigating the vanishing