How do attention mechanisms work in transformer models?
Attention mechanism is at heart of transformer models. They revolutionize the way that machines process data in a sequential manner, such as audio, language, or even images. In contrast to earlier models like Recurrent neural network (RNNs) and long-short-term memory (LSTM) models that process data step-by-step the transformer model relies on attention mechanisms in order to determine the relationships between tokens or words regardless of distances in the sequence. https://www.sevenmentor.com/da....ta-science-course-in