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    <title>PyPI recent updates for textpolicy</title>
    <link>https://pypi.org/project/textpolicy/</link>
    <description>Recent updates to the Python Package Index for textpolicy</description>
    <language>en</language>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/textpolicy/0.1.11/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Tue, 10 Feb 2026 00:03:44 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/textpolicy/0.1.10/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Sun, 08 Feb 2026 01:04:33 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/textpolicy/0.1.9/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Sat, 07 Feb 2026 00:25:39 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/textpolicy/0.1.8/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Fri, 06 Feb 2026 17:07:35 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/textpolicy/0.1.7/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Fri, 06 Feb 2026 17:00:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/textpolicy/0.1.6/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Fri, 06 Feb 2026 16:54:04 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/textpolicy/0.1.5/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Fri, 06 Feb 2026 16:17:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/textpolicy/0.1.4/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Fri, 06 Feb 2026 12:39:56 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/textpolicy/0.1.3/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Thu, 05 Feb 2026 23:11:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/textpolicy/0.1.2/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Thu, 05 Feb 2026 15:36:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/textpolicy/0.1.1/</link>
      <description>Reinforcement learning for text generation on MLX (Apple Silicon): GRPO/GSPO, environments, rollout, rewards, LoRA/QLoRA</description>
      <pubDate>Thu, 05 Feb 2026 14:58:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/textpolicy/0.1.0/</link>
      <description>MLX-optimized reward and verification system for text generation RL</description>
      <pubDate>Sat, 30 Aug 2025 15:51:14 GMT</pubDate>
    </item>    <item>
      <title>0.0.1</title>
      <link>https://pypi.org/project/textpolicy/0.0.1/</link>
      <description>Add your description here</description>
      <pubDate>Mon, 11 Aug 2025 13:09:56 GMT</pubDate>
    </item>  </channel>
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