Transformer Model

Transformer models are a type of neural network that have been shown to achieve state-of-the-art results in a variety of natural language processing tasks. They are particularly well-suited for tasks such as machine translation, text summarization, and question answering. Transformer models are based on the attention mechanism, which allows them to learn long-range dependencies in text. This makes them particularly well-suited for tasks where the meaning of a word or phrase depends on its context.

Transformer models are a powerful tool for natural language processing and are being increasingly used in a variety of applications. They are likely to play an increasingly important role in the future of AI.