A transformer is a deep learning model architecture primarily used for processing sequential data, such as natural language. It revolutionized the field of Natural Language Processing (NLP) by enabling models to understand context more effectively, thanks to its attention mechanisms which allow it to weigh the significance of different words in a sentence regardless of their position. This capability has led to significant improvements in tasks like translation, summarization, and sentiment analysis.
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