<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
  <channel>
    <title>neural networks on Referently.com</title>
    <link>https://referently.com/tags/neural-networks/</link>
    <description>Recent content in neural networks on Referently.com</description>
    <generator>Hugo -- gohugo.io</generator>
    <language>en-us</language>
    <lastBuildDate>Thu, 07 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://referently.com/tags/neural-networks/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>The Referently Glossary of AI Terms: Definitions for the Current Era</title>
      <link>https://referently.com/the-referently-glossary-of-ai-terms-definitions-for-the-current-era/</link>
      <pubDate>Thu, 07 May 2026 00:00:00 +0000</pubDate>
      
      <guid>https://referently.com/the-referently-glossary-of-ai-terms-definitions-for-the-current-era/</guid>
      <description>A working reference for the vocabulary of modern AI — organized by conceptual layer, not alphabetically. Each definition is written for practitioners and informed generalists: precise enough to cite, plain enough to share.
Foundation Layer Large Language Model (LLM) A neural network trained on vast quantities of text to predict and generate language. LLMs learn statistical patterns across billions of documents, enabling them to answer questions, write code, summarize text, and engage in dialogue.</description>
    </item>
    
  </channel>
</rss>
