Language Model, Transformers, Deep Learning, Artificial Intelligence, Machine Learning.
models, like recurrent neural networks (RNNs) and long short-term memory networks (LSTMs), face challenges in effectively capturing long-range dependencies and parallelizing computations. The Transformer architecture addresses these issues by relying on self-attention mechanisms. At the core of the