Transformers are a specific type of architecture used in language models. They are designed to handle sequential data, such as sentences or paragraphs, by leveraging self-attention mechanisms to capture dependencies between words. Transformers have revolutionized natural language processing tasks and have become the foundation for many state-of-the-art models.