Transformer Model

The Transformer model is a type of artificial intelligence that processes language by understanding relationships between words, regardless of their position in a sentence. It uses attention mechanisms to weigh the importance of each word relative to others, enabling it to grasp context and meaning more effectively. Unlike earlier models that processed words sequentially, Transformers analyze all words simultaneously, making them faster and better at understanding complex language patterns. This approach underpins advanced language tasks like translation, summarization, and chat responses, allowing AI to generate coherent and contextually relevant text.