Transformer Models

Transformer models are a type of artificial intelligence architecture primarily used for processing language. They work by analyzing the relationships between words in a sentence simultaneously, rather than one at a time. This allows them to understand context and meaning more effectively. Transformers rely on mechanisms called "attention" to focus on relevant parts of the input data, enabling them to generate coherent text, translate languages, or summarize information. They have revolutionized many natural language processing tasks and are the foundation of advanced AI systems, such as chatbots and text generators.