Example Concept: Transformers utilize a self-attention mechanism that allows the model to weigh the importance of different words in a sentence, regardless of their position. This is achieved through multiple layers of attention and feed-forward networks, enabling the model to capture complex dependencies and relationships in data. Transformers are the foundation of many state-of-the-art models like BERT and GPT.