What Is Transformer Model?

Transformer models are a type of deep learning architecture used in machine learning and artificial intelligence for natural language processing tasks. They allow models to process text in a bidirectional manner, using self-attention mechanisms to focus on relevant parts of the input sequence and capture the relationships between different words and phrases. This enables the model to learn the context and meaning of words, allowing it to perform a wide range of computational linguistics tasks such as language translation, text summarization, question answering, text classification, and text generation.