Attention Is All You Need: Understanding Transformer Architecture
The field of natural language processing has undergone significant transformation in recent years.Transformer models have revolutionized natural language processing by introducing the attention mechanism as the primary building block for sequence-to-sequence tasks.
Unlike traditional recurrent neural networks, transformers can process sequences in parallel, leading to significant improvements in training efficiency and model performance across various tasks.
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