<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ai-Design on Fernando Ruiz</title><link>https://www.fernandoux.com/tags/ai-design/</link><description>Recent content in Ai-Design on Fernando Ruiz</description><generator>Hugo</generator><language>en-us</language><atom:link href="https://www.fernandoux.com/tags/ai-design/index.xml" rel="self" type="application/rss+xml"/><item><title>What Is an LLM? Explained for Designers</title><link>https://www.fernandoux.com/en/wiki/ai/what-is-an-llm/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://www.fernandoux.com/en/wiki/ai/what-is-an-llm/</guid><description>&lt;div class="info-panel"&gt;
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 &lt;span class="info-panel-label"&gt;Quick Definition&lt;/span&gt;
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 An &lt;strong&gt;LLM&lt;/strong&gt; (large language model) is a neural network trained on enormous amounts of text to predict which token comes next after another. That simple ability, repeated over and over, produces answers, summaries, code and text that reads as if a person wrote it.
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&lt;h2 id="what-is-an-llm-in-one-sentence"&gt;What is an LLM, in one sentence?&lt;/h2&gt;
&lt;p&gt;An LLM is a system that, given a text, calculates the probability of each possible next piece of text and picks one. It then repeats the process with the extended text. It does not look the answer up in a database or an internal encyclopedia: it generates it step by step.&lt;/p&gt;</description></item></channel></rss>