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    <title>Ai on Wired &amp;&amp; Coded;</title>
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      <title>Chatting with Schematic: Evaluation of LLMs&#39; Know-How in Electronics</title>
      <link>http://localhost:1313/posts/2026/2026-04-09-chatting-with-schematic-evaluation-of-llms-know-how-in-electronics/</link>
      <pubDate>Thu, 09 Apr 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;This article evaluates the proficiency of 11 contemporary Large Language Models (LLMs) in performing electronic circuit analysis.&lt;/p&gt;&#xA;&lt;p&gt;Utilizing &lt;strong&gt;OpenCode&lt;/strong&gt;, an open-source agentic framework, the LLMs are tasked with analyzing a clock generator’s resistor-capacitor (RC) network defined in a &lt;strong&gt;KiCad 9.0&lt;/strong&gt; schematic. To facilitate LLMs&amp;rsquo; comprehension, an efficient preprocessing methodology is introduced to convert schematic data into structured &lt;strong&gt;CSV formats&lt;/strong&gt;. The evaluation requires the models to parse circuit netlists, retrieve specifications from component datasheets available in the workspace, and calculate the critical circuit parameters, specifically the &lt;strong&gt;common-mode voltage&lt;/strong&gt; and &lt;strong&gt;differential swing&lt;/strong&gt; of the clock output.&lt;/p&gt;</description>
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