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\[\label{eq:transformer_equation} Attention(Q, K, V) = \text{softmax}\left(\frac{QK^T}{\sqrt{d_k}}\right)V\]

如公式 $\eqref{eq:transformer_equation}$ 所示，注意机制的核心在于…

# 这是一个 Python 代码示例
import numpy as np

def matrix_multiply(a, b):
    """计算两个矩阵的乘积"""
    return np.dot(a, b)

# 结果输出
matrix_a = np.array([[1, 2], [3, 4]])
matrix_b = np.array([[5, 6], [7, 8]])
result = matrix_multiply(matrix_a, matrix_b)
print("Result matrix:")
print(result)