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      <title>AI Agents for Automated Quality Assurance</title>
      <link>https://zl-labs.tech/post/2025-11-28-agentic-qa-parallellm/</link>
      <pubDate>Fri, 28 Nov 2025 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;Quality Assurance (QA) is an intensive endeavour that feels very repetitive to humans. In this article, we explore the&#xA;potential of using Agentic AI to automate this process. In particular, we&amp;rsquo;ll apply this methodology to a real-world&#xA;example: ensuring that &lt;a href=&#34;https://parallellm.com&#34;&gt;parallellm.com&lt;/a&gt; (the &amp;ldquo;target website&amp;rdquo;) runs smoothly, round the clock.&#xA;Any issues that do arise will be flagged very quickly.&lt;/p&gt;&#xA;&lt;p&gt;The application of Agentic AI to QA has great potential, since traditional website scanning is notoriously difficult.&#xA;Their HTML layouts are liable to change at any moment. AI Agents, when set up in the right way, can tolerate such changes,&#xA;whereas traditional heuristic rules are hard-coded and brittle against this effect.&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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      <title>DeepSeek in the Cloud</title>
      <link>https://zl-labs.tech/post/2025-02-15-run-deepseek/</link>
      <pubDate>Wed, 19 Feb 2025 00:00:00 +0000</pubDate>
      <guid>https://zl-labs.tech/post/2025-02-15-run-deepseek/</guid>
      <description>&lt;p&gt;In this post, I will share my experiences of running one of the DeepSeek open-weights models (DeepSeek-R1-Distill-Qwen-32B)&#xA;directly on AWS hardware in the cloud - no need for API tokens.&lt;/p&gt;&#xA;&lt;p&gt;The good news is that it&amp;rsquo;s easier than you think - modern libraries, such as PyTorch and the Hugging Face (🤗) transformers&#xA;package, facilitate much of the heavy lifting. I found some extra tips and tricks along the way to speed things up and I&#xA;will share these with you in this post.&lt;/p&gt;</description>
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