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Add. 第一章——Transformer网络架构
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Add. 解码器（Decoder）概述 & 文字向量化
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docs. 文字向量化 & 位置编码
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ADD. 语义关系学习（多头注意力）
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Add. 增加WHY的内容，提高理解
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Update. 更新展示图
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Add. 前馈神经网络
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Create. 第二章——文字向量化
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7 months ago |
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Create. 第二章——文字向量化
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Update. 增加实际代码
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Add. 索引向量化
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Add. 从0开始Tokenizer
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Add. 从0开始Tokenizer
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Update. Transformer里的原始方法
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7 months ago |
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Update. Transformer里的原始方法
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Add. GPT-2的位置编码方法
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Add. GPT-2的位置编码方法
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Add. 矩阵同位置相加
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Add. 矩阵同位置相加
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Add. 增加位置编码正弦余弦的可解释性
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Add. 为什么是矩阵相乘-几何解释
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Add. 为什么是矩阵相乘-几何解释
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Add. 为什么是矩阵相乘-几何解释
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Add. 为什么是矩阵相乘-几何解释
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Fix. 调整图片位置
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Add. 为什么是矩阵相乘-几何解释
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Fix. Attention——QKV权重运算
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Fix. Attention——QKV权重运算
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Fix. 修改章节名
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Fix. 修改章节名
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Fix. 修改章节名
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7 months ago |
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Fix. 修改章节名
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7 months ago |
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Fix. 修改章节名
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7 months ago |
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Fix. 修改章节名
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7 months ago |
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Create. 第四章——多头注意力机制——QK矩阵相乘
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7 months ago |
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Add. Scale缩放
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7 months ago |
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Add. Softmax归一化
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7 months ago |
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Add. Softmax归一化
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7 months ago |
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Add. QKV机制的数学逻辑
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7 months ago |
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Add. QKV机制的数学逻辑
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7 months ago |
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Add. QKV机制的数学逻辑
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7 months ago |
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Add. QKV机制的数学逻辑
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7 months ago |
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Add. QKV机制的数学逻辑
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7 months ago |
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Add. QKV机制的数学逻辑
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7 months ago |
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Add. QKV机制的数学逻辑
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7 months ago |
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Add. 上亿的参数量是怎么来的
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7 months ago |
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Add. 层归一化 & 总结
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7 months ago |
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Add. 增加相关图片
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7 months ago |
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Add. 增加相关图片
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7 months ago |
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image-20240503172501503.png
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Add. 训练和推理阶段的不同
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7 months ago |
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Add. 训练和推理阶段的不同
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7 months ago |
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Add. 添加过程代码，提高复现成功率
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7 months ago |
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Fix. 调整QKV底层数学逻辑
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6 months ago |
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Fix. 调整QKV底层数学逻辑
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6 months ago |
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Fix. 调整QKV底层数学逻辑
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6 months ago |
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image-20240527194040825.png
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Fix. 使用图片替代公式展示
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6 months ago |
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matrix-multiply-a.svg
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Add. 什么是矩阵相乘
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7 months ago |
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scalar-vector-matrix.svg
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Add. 什么是矩阵相乘
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7 months ago |
ben.guo
