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    <title>DEV Community: Bertrand Charpentier</title>
    <description>The latest articles on DEV Community by Bertrand Charpentier (@bertrand_charpentier).</description>
    <link>https://dev.to/bertrand_charpentier</link>
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      <title>DEV Community: Bertrand Charpentier</title>
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      <title>The AI efficiency framework from Pruna AI is now open-source</title>
      <dc:creator>Bertrand Charpentier</dc:creator>
      <pubDate>Thu, 20 Mar 2025 12:24:56 +0000</pubDate>
      <link>https://dev.to/pruna-ai/the-ai-efficiency-framework-from-pruna-ai-is-now-open-source-46nc</link>
      <guid>https://dev.to/pruna-ai/the-ai-efficiency-framework-from-pruna-ai-is-now-open-source-46nc</guid>
      <description>&lt;p&gt;I am Bertrand from Pruna AI. Together with John, Rayan, Stephan, we created Pruna AI to tackle challenges in AI model optimization. We’re a group of researchers in AI efficiency and reliability, originally from TUM.&lt;/p&gt;

&lt;p&gt;Since we got so many times questions on how compression of AI models was working under the hood, we decided to open-source the &lt;a href="https://github.com/PrunaAI/pruna" rel="noopener noreferrer"&gt;&lt;code&gt;pruna&lt;/code&gt; package&lt;/a&gt; with the help of all the Pruna AI team. As a whole, the &lt;code&gt;pruna&lt;/code&gt; package is an AI efficiency framework that can be installed with &lt;code&gt;pip install pruna&lt;/code&gt; to compress models, and thus save memory and compute power when running AI models for inference.&lt;/p&gt;

&lt;p&gt;With open-sourcing, people can now inspect and contribute to the open code. Beyond the code, we provide detailed readme, tutorials, benchmarks, and documentation (&lt;a href="https://docs.pruna.ai/en/stable/index.html" rel="noopener noreferrer"&gt;https://docs.pruna.ai/en/stable/index.html&lt;/a&gt;) to make transparent compression, evaluation, and saving/loading/serving of AI models. &lt;/p&gt;

&lt;p&gt;Beyond the open-source package, we commercially offer &lt;code&gt;pruna_pro&lt;/code&gt; with advanced compression methods, recovery methods, and an optimization agent to unlock greater efficiency and productivity gains.&lt;/p&gt;

&lt;p&gt;We are pleased to share this with you all. We would be glad to hear your thoughts and questions in the comments :)&lt;/p&gt;

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      <category>ai</category>
      <category>machinelearning</category>
      <category>opensource</category>
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