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@ -1306,6 +1306,10 @@ MiniMind模型本身预训练数据集小的可怜,也没有针对性的对测
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<a href="https://github.com/RyanSunn"><b>@RyanSunn</b></a>:
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<a href="https://github.com/RyanSunn"><b>@RyanSunn</b></a>:
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<a href="https://github.com/jingyaogong/minimind/issues/75">🔗推理过程学习记录</a>
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<a href="https://github.com/jingyaogong/minimind/issues/75">🔗推理过程学习记录</a>
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<a href="https://github.com/Nijikadesu"><b>@Nijikadesu</b></a>:
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<a href="https://github.com/jingyaogong/minimind/issues/213">🔗以交互笔记本方式分解项目代码</a>
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<details close>
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<details close>
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<summary> <b>参考链接 & 感谢以下优秀的论文或项目</b> </summary>
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<summary> <b>参考链接 & 感谢以下优秀的论文或项目</b> </summary>
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@ -1457,6 +1457,9 @@ is mainly for fun, so take the results lightly:
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<a href="https://github.com/RyanSunn"><b>@RyanSunn</b></a>:
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<a href="https://github.com/RyanSunn"><b>@RyanSunn</b></a>:
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<a href="https://github.com/jingyaogong/minimind/issues/75">🔗Inference process learning record</a>
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<a href="https://github.com/jingyaogong/minimind/issues/75">🔗Inference process learning record</a>
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<a href="https://github.com/Nijikadesu"><b>@Nijikadesu</b></a>:
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<a href="https://github.com/jingyaogong/minimind/issues/213">🔗Decompose project code in an interactive notebook format</a>
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<details close>
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<summary> <b>Reference Links & Thanks to the following excellent papers or projects</b> </summary>
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<summary> <b>Reference Links & Thanks to the following excellent papers or projects</b> </summary>
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@ -5,7 +5,7 @@ Flask_Cors==4.0.0
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jieba==0.42.1
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jieba==0.42.1
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jsonlines==4.0.0
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jsonlines==4.0.0
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marshmallow==3.22.0
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marshmallow==3.22.0
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matplotlib==3.5.1
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matplotlib==3.10.0
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ngrok==1.4.0
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ngrok==1.4.0
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nltk==3.8
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nltk==3.8
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numpy==1.26.4
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numpy==1.26.4
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