<?xml version="1.0" encoding="utf-8"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Posts · Mesh Refinement</title><link>https://meshrefine.com/en/tags/tutorial/</link><description>Posts · Mesh Refinement</description><atom:link href="https://meshrefine.com/en/tags/tutorial/index.xml" rel="self" type="application/rss+xml"/><lastBuildDate>Thu, 05 Jun 2025 14:40:50 +0200</lastBuildDate><item><title>Griptape, Part 2: Building Graphs</title><link>https://meshrefine.com/en/posts/griptape-2/</link><description>&lt;p&gt;In the &lt;a href="https://meshrefine.com/en/posts/griptape-1/"&gt;previous post&lt;/a&gt;, I broke down the basic concepts of the &lt;a href="https://www.griptape.ai"&gt;Griptape&lt;/a&gt; AI framework, and now it&amp;rsquo;s time to put them into practice. We&amp;rsquo;ll try to use them to develop a small application that helps run a link-blog on Telegram.&lt;/p&gt;
&lt;p&gt;The application will receive a URL, download its content, run it through an LLM to generate a summary, translate that summary into a couple of other languages, combine everything, and publish it to Telegram via a bot. The general flow can be seen in the diagram below:&lt;/p&gt;</description><pubDate>Thu, 05 Jun 2025 14:40:50 +0200</pubDate><guid>https://meshrefine.com/en/posts/griptape-2/</guid></item></channel></rss>