Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
networks (RNNs) or convolutional neural networks (CNNs) along with attention mechanisms. — However, these models faced challenges such as difficulty in parallelization and capturing long-range dependencies. 3. Model Architecture: — The Transformer architecture consists of an encoder and a decoder,