<?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>Model Training on Coursiv Blog</title><link>https://coursiv.io/blog/tags/model-training</link><description>Recent content in Model Training on Coursiv Blog</description><generator>Hugo -- 0.147.0</generator><language>en-US</language><lastBuildDate>Mon, 20 Jul 2026 12:00:00 +0500</lastBuildDate><atom:link href="https://coursiv.io/blog/tags/model-training/index.xml" rel="self" type="application/rss+xml"/><item><title>What is Fine-Tuning in AI?</title><link>https://coursiv.io/blog/what-is-fine-tuning-in-ai</link><pubDate>Mon, 20 Jul 2026 12:00:00 +0500</pubDate><guid>https://coursiv.io/blog/what-is-fine-tuning-in-ai</guid><description>Learn what fine-tuning is, how it compares with prompting and retrieval, when it is worth doing, and how to measure whether it actually worked.</description></item><item><title>What is Synthetic Data? A Comprehensive Overview</title><link>https://coursiv.io/blog/what-is-synthetic-data</link><pubDate>Mon, 20 Jul 2026 12:00:00 +0500</pubDate><guid>https://coursiv.io/blog/what-is-synthetic-data</guid><description>Learn what synthetic data is, how it is generated, where it helps, and how to validate it before you rely on it for testing or model development.</description></item></channel></rss>