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    <title>PyPI recent updates for autodistill</title>
    <link>https://pypi.org/project/autodistill/</link>
    <description>Recent updates to the Python Package Index for autodistill</description>
    <language>en</language>    <item>
      <title>0.1.29</title>
      <link>https://pypi.org/project/autodistill/0.1.29/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 26 Nov 2024 13:07:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.28</title>
      <link>https://pypi.org/project/autodistill/0.1.28/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 11 Jun 2024 14:29:49 GMT</pubDate>
    </item>    <item>
      <title>0.1.27</title>
      <link>https://pypi.org/project/autodistill/0.1.27/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 11 Jun 2024 14:29:46 GMT</pubDate>
    </item>    <item>
      <title>0.1.26</title>
      <link>https://pypi.org/project/autodistill/0.1.26/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 13 Feb 2024 20:10:08 GMT</pubDate>
    </item>    <item>
      <title>0.1.25</title>
      <link>https://pypi.org/project/autodistill/0.1.25/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 13 Feb 2024 19:54:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.24</title>
      <link>https://pypi.org/project/autodistill/0.1.24/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Thu, 18 Jan 2024 15:26:34 GMT</pubDate>
    </item>    <item>
      <title>0.1.22</title>
      <link>https://pypi.org/project/autodistill/0.1.22/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 09 Jan 2024 16:59:57 GMT</pubDate>
    </item>    <item>
      <title>0.1.21</title>
      <link>https://pypi.org/project/autodistill/0.1.21/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Thu, 28 Dec 2023 11:45:02 GMT</pubDate>
    </item>    <item>
      <title>0.1.20</title>
      <link>https://pypi.org/project/autodistill/0.1.20/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Fri, 01 Dec 2023 16:14:17 GMT</pubDate>
    </item>    <item>
      <title>0.1.19</title>
      <link>https://pypi.org/project/autodistill/0.1.19/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Wed, 22 Nov 2023 09:21:59 GMT</pubDate>
    </item>    <item>
      <title>0.1.18</title>
      <link>https://pypi.org/project/autodistill/0.1.18/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Wed, 08 Nov 2023 20:50:37 GMT</pubDate>
    </item>    <item>
      <title>0.1.17</title>
      <link>https://pypi.org/project/autodistill/0.1.17/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 07 Nov 2023 21:19:07 GMT</pubDate>
    </item>    <item>
      <title>0.1.16</title>
      <link>https://pypi.org/project/autodistill/0.1.16/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Wed, 01 Nov 2023 17:24:48 GMT</pubDate>
    </item>    <item>
      <title>0.1.15</title>
      <link>https://pypi.org/project/autodistill/0.1.15/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Fri, 27 Oct 2023 10:02:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.14</title>
      <link>https://pypi.org/project/autodistill/0.1.14/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Fri, 27 Oct 2023 10:01:01 GMT</pubDate>
    </item>    <item>
      <title>0.1.13</title>
      <link>https://pypi.org/project/autodistill/0.1.13/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Fri, 20 Oct 2023 20:02:18 GMT</pubDate>
    </item>    <item>
      <title>0.1.12</title>
      <link>https://pypi.org/project/autodistill/0.1.12/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Wed, 30 Aug 2023 09:38:43 GMT</pubDate>
    </item>    <item>
      <title>0.1.11</title>
      <link>https://pypi.org/project/autodistill/0.1.11/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Wed, 30 Aug 2023 09:30:23 GMT</pubDate>
    </item>    <item>
      <title>0.1.10</title>
      <link>https://pypi.org/project/autodistill/0.1.10/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 29 Aug 2023 13:00:51 GMT</pubDate>
    </item>    <item>
      <title>0.1.9</title>
      <link>https://pypi.org/project/autodistill/0.1.9/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 29 Aug 2023 12:25:30 GMT</pubDate>
    </item>    <item>
      <title>0.1.8</title>
      <link>https://pypi.org/project/autodistill/0.1.8/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 29 Aug 2023 12:20:10 GMT</pubDate>
    </item>    <item>
      <title>0.1.7</title>
      <link>https://pypi.org/project/autodistill/0.1.7/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Tue, 29 Aug 2023 08:38:24 GMT</pubDate>
    </item>    <item>
      <title>0.1.6</title>
      <link>https://pypi.org/project/autodistill/0.1.6/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Thu, 29 Jun 2023 13:28:26 GMT</pubDate>
    </item>    <item>
      <title>0.1.5</title>
      <link>https://pypi.org/project/autodistill/0.1.5/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Thu, 29 Jun 2023 11:58:01 GMT</pubDate>
    </item>    <item>
      <title>0.1.4</title>
      <link>https://pypi.org/project/autodistill/0.1.4/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Thu, 29 Jun 2023 11:28:50 GMT</pubDate>
    </item>    <item>
      <title>0.1.3</title>
      <link>https://pypi.org/project/autodistill/0.1.3/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Wed, 21 Jun 2023 10:36:19 GMT</pubDate>
    </item>    <item>
      <title>0.1.2</title>
      <link>https://pypi.org/project/autodistill/0.1.2/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>autodistill@roboflow.com</author>      <pubDate>Fri, 09 Jun 2023 17:08:32 GMT</pubDate>
    </item>    <item>
      <title>0.1.1</title>
      <link>https://pypi.org/project/autodistill/0.1.1/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>jacob@roboflow.com</author>      <pubDate>Wed, 31 May 2023 06:35:16 GMT</pubDate>
    </item>    <item>
      <title>0.1.0</title>
      <link>https://pypi.org/project/autodistill/0.1.0/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>jacob@roboflow.com</author>      <pubDate>Sat, 27 May 2023 03:02:00 GMT</pubDate>
    </item>    <item>
      <title>0.0.7</title>
      <link>https://pypi.org/project/autodistill/0.0.7/</link>
      <description>Distill large foundational models into smaller, domain-specific models for deployment</description>
<author>jacob@roboflow.com</author>      <pubDate>Sat, 27 May 2023 03:01:37 GMT</pubDate>
    </item>    <item>
      <title>0.0.6</title>
      <link>https://pypi.org/project/autodistill/0.0.6/</link>
      <description>Automatically distill large foundational models into smaller, in-domain models for deployment</description>
<author>jacob@roboflow.com</author>      <pubDate>Wed, 17 May 2023 23:04:29 GMT</pubDate>
    </item>    <item>
      <title>0.0.5</title>
      <link>https://pypi.org/project/autodistill/0.0.5/</link>
      <description>Automatically distill large foundational models into smaller, in-domain models for deployment</description>
<author>jacob@roboflow.com</author>      <pubDate>Mon, 17 Apr 2023 15:33:35 GMT</pubDate>
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