Transformer architectures revolutionized AI by processing entire sequences simultaneously through self-attention, enabling faster training and better context understanding. Used in language models like GPT and BERT, they power translation, summarization, and chatbots. Developers, researchers, and businesses benefit from improved accuracy and scalability in natural language tasks.
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