How do attention mechanisms work in transformer models?

Transformer models are based on attention mechanisms, which revolutionize the way machines understand and process language. Transformers, unlike earlier models which processed words in a sequential manner, rely on attention for handling entire sequences simultaneously. This innovation allows the model to focus on the most important parts of a sequence input when making predictions. https://www.sevenmentor.com/da....ta-science-course-in