<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Edge-Deployment on knowledged.to</title><link>https://knowledged.to/tags/edge-deployment/</link><description>Recent content in Edge-Deployment on knowledged.to</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Mon, 08 Jun 2026 10:24:02 +0000</lastBuildDate><atom:link href="https://knowledged.to/tags/edge-deployment/index.xml" rel="self" type="application/rss+xml"/><item><title>Quantization-Aware Training (QAT) in AI</title><link>https://knowledged.to/ai/concepts/quantization-aware-training/</link><pubDate>Mon, 08 Jun 2026 10:23:47 +0000</pubDate><guid>https://knowledged.to/ai/concepts/quantization-aware-training/</guid><description>Explains QAT for training neural networks to retain accuracy under low-precision quantization.</description></item></channel></rss>