Transformer is a type of AI model architecture designed for processing sequential data, such as text. It uses mechanisms like self-attention to understand the context and relationships between words in a sequence, making it highly effective for natural language processing (NLP) tasks.
Transformers power advanced language models like GPT and BERT, which are used in chatbots, translation tools, and text summarization.
Transformers are a foundational technology for many state-of-the-art AI applications.