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Understanding Transformer architectures requires getting comfortable with attention calculations. While PyTorch offers high-level layers like nn.MultiheadAttention, implementing Scaled Dot-Product Attention directly helps clarify matrix dimensions and numerical stability tricks like softmax scaling.