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1.理解大语言模型.md
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feature: update img format
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2.处理文本数据.md
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feature: update img format
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3.实现注意力机制.md
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4.从零开始实现一个用于文本生成的 GPT 模型.md
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5.在无标记数据集上进行预训练.md
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6.用于分类任务的微调.md
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7.指令遵循微调.md
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附录A.PyTorch简介.md
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附录B.参考文献和扩展阅读.md
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附录C.习题解答.md
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附录D.给训练循环添加高级技巧.md
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附录E.使用LoRA的参数高效微调.md
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