The Transformer model, introduced in the paper 'Attention Is All You Need', primarily revolutionized the field of _______ by allowing for parallelization in training and improving the handling of long-range dependencies.

The Transformer model, introduced in “Attention Is All You Need,” mainly revolutionized natural language processing by letting computers train on many words at once and by better understanding words that are far apart in a sentence. It replaced the older step‑by‑step methods with attention, which looks at all words together, so training is faster and more parallel. Because it can focus on any part of a sentence at the same time, it handles long‑range dependencies—like remembering a subject that appears at the start of a long paragraph—much more effectively. For example, in the sentence “The book that the teacher who was late to the meeting finally read was fascinating,” the Transformer can easily link “book” to “finally read” even though many words separate them. This breakthrough made modern language models much more powerful and efficient.