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    <title>Hugging Face on The Learning Loop</title>
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    <description>Recent content in Hugging Face on The Learning Loop</description>
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    <lastBuildDate>Mon, 25 Aug 2025 10:40:48 -0400</lastBuildDate>
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      <title>Hugging face agents</title>
      <link>https://blog.juzam.pro/posts/2025-08-25/hugging-face-agents/</link>
      <pubDate>Mon, 25 Aug 2025 10:40:48 -0400</pubDate>
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      <description>&lt;p&gt;I&amp;rsquo;ve been working through the Hugging Face
&lt;a href=&#34;https://huggingface.co/learn/agents-course/&#34;&gt;agents course&lt;/a&gt;, and I’m enjoying
it quite a bit. Highly recommended! First, it’s rounding out my knowledge of
LLMs, transformers, and AI in general. Second, it paints a very clear picture of
what agentic AI is all about—while staying away from the hype. I’ll try to
summarize here, but I really recommend checking out the full course.&lt;/p&gt;
&lt;p&gt;This is not a formal definition, but I think the crucial feature of agents is
the ability to use tools to interact with the environment. Instead of relying
solely on the knowledge of the model itself, agents can search the web, access
web pages, and use Unix commands like find, ls, and grep to help answer your
questions. Another key characteristic is that this all happens in a loop, giving
the agent the ability to course correct in case things don&amp;rsquo;t go as planned in
order to achieve its goal.&lt;/p&gt;</description>
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