<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Profiling on AI VOID</title><link>https://ai-blog.noorshomelab.dev/tags/profiling/</link><description>Recent content in Profiling on AI VOID</description><generator>Hugo</generator><language>en</language><lastBuildDate>Thu, 26 Feb 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://ai-blog.noorshomelab.dev/tags/profiling/index.xml" rel="self" type="application/rss+xml"/><item><title>Chapter 10: Performance Optimization and Profiling in Tunix</title><link>https://ai-blog.noorshomelab.dev/tunix-mastery-2026/10-performance-optimization/</link><pubDate>Fri, 30 Jan 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/tunix-mastery-2026/10-performance-optimization/</guid><description>&lt;h2 id="chapter-10-performance-optimization-and-profiling-in-tunix"&gt;Chapter 10: Performance Optimization and Profiling in Tunix&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 10! You&amp;rsquo;ve come a long way, mastering the fundamentals and core concepts of Tunix for LLM post-training. Now, it&amp;rsquo;s time to tackle one of the most critical aspects of working with large language models: performance. Training and fine-tuning LLMs can be incredibly resource-intensive and time-consuming. Understanding how to optimize your workflows and identify bottlenecks is crucial for efficiency, cost-effectiveness, and faster iteration cycles.&lt;/p&gt;</description></item><item><title>Chapter 14: Performance Optimization &amp;amp; Debugging</title><link>https://ai-blog.noorshomelab.dev/ios-pro-dev-2026-guide/performance-optimization-debugging/</link><pubDate>Thu, 26 Feb 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/ios-pro-dev-2026-guide/performance-optimization-debugging/</guid><description>&lt;h2 id="introduction"&gt;Introduction&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 14! So far, you&amp;rsquo;ve learned to build robust and feature-rich iOS applications. But what happens when your amazing app feels sluggish, drains the user&amp;rsquo;s battery, or unexpectedly crashes? That&amp;rsquo;s where performance optimization and debugging come into play. These aren&amp;rsquo;t just &amp;ldquo;nice-to-haves&amp;rdquo;; they are &lt;em&gt;critical&lt;/em&gt; skills for any professional iOS developer. A slow or buggy app quickly leads to frustrated users and poor App Store reviews.&lt;/p&gt;
&lt;p&gt;In this chapter, we&amp;rsquo;ll transform you into a digital detective, equipped to uncover and resolve the hidden issues that plague even well-designed applications. We&amp;rsquo;ll dive deep into Xcode&amp;rsquo;s powerful diagnostic tools, understand common performance bottlenecks, and learn how to apply modern Swift and Apple framework techniques to make your apps silky smooth and resource-efficient. You&amp;rsquo;ll also sharpen your debugging skills, turning frustrating bugs into solvable puzzles.&lt;/p&gt;</description></item><item><title>Chapter 16: Debugging &amp;amp; Profiling Your Swift Apps</title><link>https://ai-blog.noorshomelab.dev/mastering-swift-2026/16-debugging-profiling-swift-apps/</link><pubDate>Thu, 26 Feb 2026 00:00:00 +0000</pubDate><guid>https://ai-blog.noorshomelab.dev/mastering-swift-2026/16-debugging-profiling-swift-apps/</guid><description>&lt;h2 id="chapter-16-debugging--profiling-your-swift-apps"&gt;Chapter 16: Debugging &amp;amp; Profiling Your Swift Apps&lt;/h2&gt;
&lt;p&gt;Welcome to Chapter 16! So far, you&amp;rsquo;ve learned to write powerful and expressive Swift code, understand its core principles, and even delve into advanced topics like concurrency. But what happens when your code doesn&amp;rsquo;t quite behave as expected? Or when it runs, but feels sluggish and unresponsive?&lt;/p&gt;
&lt;p&gt;This chapter is your toolkit for solving those very real-world problems. We&amp;rsquo;re going to equip you with the essential skills of &lt;strong&gt;debugging&lt;/strong&gt; and &lt;strong&gt;profiling&lt;/strong&gt;. Debugging is the art of finding and fixing errors (bugs) in your code, while profiling is the science of measuring your app&amp;rsquo;s performance to identify bottlenecks and optimize its efficiency. Both are indispensable for building production-grade applications that are not only functional but also fast and reliable.&lt;/p&gt;</description></item></channel></rss>