<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Operations on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/operations/</link><description>Recent content in Operations on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 02 Mar 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/operations/index.xml" rel="self" type="application/rss+xml"/><item><title>TensorFlow Guide: Core Concepts - Tensors, Operations, and Graphs</title><link>https://ai-blog.noorshomelab.dev/tensorflow-guide/core-concepts-tensors-operations-graphs/</link><pubDate>Sun, 26 Oct 2025 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/tensorflow-guide/core-concepts-tensors-operations-graphs/</guid><description>&lt;h2 id="2-core-concepts-and-fundamentals"&gt;2. Core Concepts and Fundamentals&lt;/h2&gt;
&lt;p&gt;TensorFlow is built upon a few fundamental concepts that, once understood, unlock its full power. In this chapter, we&amp;rsquo;ll break down the core building blocks: Tensors, Operations, and the underlying concept of Graphs (even in TensorFlow 2.x&amp;rsquo;s eager execution model).&lt;/p&gt;
&lt;h3 id="21-tensors-the-universal-data-structure"&gt;2.1 Tensors: The Universal Data Structure&lt;/h3&gt;
&lt;p&gt;In TensorFlow, all data—whether it&amp;rsquo;s raw input, model weights, biases, or outputs—is represented as &lt;strong&gt;tensors&lt;/strong&gt;. A tensor is a multi-dimensional array, similar to NumPy arrays, but with the added benefit of being able to run on GPUs (for accelerated computation) and being part of a computation graph.&lt;/p&gt;</description></item><item><title>Chapter 22: Monitoring, Maintenance, and Future Enhancements</title><link>https://ai-blog.noorshomelab.dev/stellar-gen-guide/chapter-22-monitoring-maintenance/</link><pubDate>Mon, 02 Mar 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/stellar-gen-guide/chapter-22-monitoring-maintenance/</guid><description>&lt;h2 id="chapter-22-monitoring-maintenance-and-future-enhancements"&gt;Chapter 22: Monitoring, Maintenance, and Future Enhancements&lt;/h2&gt;
&lt;h3 id="chapter-introduction"&gt;Chapter Introduction&lt;/h3&gt;
&lt;p&gt;Congratulations! You&amp;rsquo;ve built a sophisticated, high-performance static site generator in Rust, from parsing Markdown and frontmatter to implementing component hydration and incremental builds. This journey has covered a vast landscape of modern web development principles and Rust best practices.&lt;/p&gt;
&lt;p&gt;In this final chapter, we shift our focus from building new features to ensuring the long-term health, stability, and future adaptability of our SSG. A production-ready application isn&amp;rsquo;t just about functionality; it&amp;rsquo;s also about its operational aspects. We&amp;rsquo;ll explore strategies for monitoring the SSG&amp;rsquo;s build process and the health of the deployed static sites, discuss essential maintenance routines, and outline a roadmap for future enhancements. This step is crucial for any project destined for production, guaranteeing reliability, performance, and a smooth developer experience.&lt;/p&gt;</description></item></channel></rss>