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      <title>Ubuntu&#39;s Popularity Over the Years</title>
      <link>https://zl-labs.tech/post/2026-04-20-ubuntu-popularity-over-the-years/</link>
      <pubDate>Mon, 20 Apr 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;With the highly anticipated new release of Ubuntu due out later this week (26.04 LTS), it&amp;rsquo;s a good moment to review&#xA;the landscape of Linux distributions and ask: &amp;ldquo;is it the right operating system for me?&amp;rdquo;&lt;/p&gt;&#xA;&lt;p&gt;I have been using Linux Ubuntu as my primary operating system (OS) for more than 15 years and it&amp;rsquo;s&#xA;fair to say, I&amp;rsquo;m hooked! My enjoyment of and productivity using Ubuntu goes far deeper than &lt;em&gt;it&amp;rsquo;s free&lt;/em&gt;&#xA;and &lt;em&gt;it has a great window management&lt;/em&gt;, though these are key benefits.&lt;/p&gt;</description>
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      <title>XKCD Finder</title>
      <link>https://zl-labs.tech/post/2025-06-27-xkcd-rag/</link>
      <pubDate>Fri, 27 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://zl-labs.tech/post/2025-06-27-xkcd-rag/</guid>
      <description>&lt;p&gt;XKCD comics have become a cornerstone of internet culture, particularly in technical circles, with their witty takes on science,&#xA;programming, and mathematics. However, finding the perfect XKCD for a particular topic or reference can be challenging -&#xA;there are now over 3,000 comics in the archive, and traditional search methods rely heavily on exact keyword matches or&#xA;remembering specific comic numbers.&lt;/p&gt;&#xA;&lt;p&gt;This project explores how modern Natural Language Processing (NLP) techniques can be used to search XKCD comics semantically,&#xA;understanding the underlying meaning rather than just matching keywords. By applying vector embeddings and Retrieval&#xA;Augmented Generation (RAG) to comic descriptions, we can now perform a search based on concepts, themes, and abstract ideas.&lt;/p&gt;</description>
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      <title>Parallellm Pump</title>
      <link>https://zl-labs.tech/post/2025-04-05-parallellm-pump-study/</link>
      <pubDate>Sat, 05 Apr 2025 00:00:00 +0000</pubDate>
      <guid>https://zl-labs.tech/post/2025-04-05-parallellm-pump-study/</guid>
      <description>&lt;p&gt;Large Language Model (LLM) tools, such as ChatGPT and DeepSeek, have become a key part of people&amp;rsquo;s workflow, in professional&#xA;and everyday usage. However, there are dozens of different providers now offering a myriad of options all at different price&#xA;points; even a single provider has a multitude of models to choose from.&lt;/p&gt;&#xA;&lt;p&gt;So where do you begin? The Parallellm Pump offers developers a power tool for making response comparisons, &lt;em&gt;asynchronously&lt;/em&gt;,&#xA;to let you be the judge of which provider returns the best result. Still not sure? You can even ask the&#xA;LLMs themselves to make the decision for you!&lt;/p&gt;</description>
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