<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Evaluation on iSquiz.com</title><link>https://www.isquiz.com/tags/evaluation/</link><description>Recent content in Evaluation on iSquiz.com</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>iSquiz.com</copyright><lastBuildDate>Thu, 18 Jun 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://www.isquiz.com/tags/evaluation/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Evaluate an LLM for Your Business</title><link>https://www.isquiz.com/post/evaluate-llm-for-business/</link><pubDate>Thu, 18 Jun 2026 00:00:00 +0000</pubDate><guid>https://www.isquiz.com/post/evaluate-llm-for-business/</guid><description>
&lt;p&gt;Choosing a large language model for a business workflow comes down to five variables most buyers never separate cleanly: what the model is actually for, whether it can do the job, what it costs at real volume, how hard it is to wire into existing systems, and how much risk the use case can tolerate. Skip any one of them and the decision usually drifts toward whichever model is loudest in the press that quarter — which is a marketing signal, not a fit signal. Learning how to &lt;strong&gt;evaluate an LLM for your business&lt;/strong&gt; means turning that vague &amp;quot;which AI should we use?&amp;quot; question into five answerable ones.&lt;/p&gt;</description></item></channel></rss>