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    <title>PyPI recent updates for linalg-zero</title>
    <link>https://pypi.org/project/linalg-zero/</link>
    <description>Recent updates to the Python Package Index for linalg-zero</description>
    <language>en</language>    <item>
      <title>1.0.0</title>
      <link>https://pypi.org/project/linalg-zero/1.0.0/</link>
      <description>This repository provides tools to generate a linear algebra dataset and code to train an open-source pre-trained model. Our goal is to explore the model&#39;s potential for emergent reasoning, inspired by the Deepseek-R1 paper.</description>
<author>atomwalk@duck.com</author>      <pubDate>Tue, 17 Feb 2026 14:30:44 GMT</pubDate>
    </item>    <item>
      <title>0.3.0</title>
      <link>https://pypi.org/project/linalg-zero/0.3.0/</link>
      <description>This repository provides tools to generate a linear algebra dataset and code to train an open-source pre-trained model. Our goal is to explore the model&#39;s potential for emergent reasoning, inspired by the Deepseek-R1 paper.</description>
<author>atomwalk@duck.com</author>      <pubDate>Mon, 29 Sep 2025 05:36:12 GMT</pubDate>
    </item>    <item>
      <title>0.2.0</title>
      <link>https://pypi.org/project/linalg-zero/0.2.0/</link>
      <description>This repository provides tools to generate a linear algebra dataset and code to train an open-source pre-trained model. Our goal is to explore the model&#39;s potential for emergent reasoning, inspired by the Deepseek-R1 paper.</description>
<author>atomwalk@duck.com</author>      <pubDate>Sun, 03 Aug 2025 15:01:08 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/linalg-zero/0.1.0/</link>
      <description>This repository provides tools to generate a linear algebra dataset and code to train an open-source pre-trained model. Our goal is to explore the model&#39;s potential for emergent reasoning, inspired by the Deepseek-R1 paper.</description>
<author>atomwalk@duck.com</author>      <pubDate>Tue, 08 Jul 2025 18:28:13 GMT</pubDate>
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