<?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>Language-Models on Neputer Blog</title><link>https://blog.neputer.com/tags/language-models/</link><description>Recent content in Language-Models on Neputer Blog</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 24 Jun 2026 12:01:42 +0545</lastBuildDate><atom:link href="https://blog.neputer.com/tags/language-models/index.xml" rel="self" type="application/rss+xml"/><item><title>Human-Like Memory Limits Make AI Better at Learning Grammar</title><link>https://blog.neputer.com/news/2026-06-24-human-like-memory-limits-make-ai-better-at-learning-gra/</link><pubDate>Wed, 24 Jun 2026 12:01:42 +0545</pubDate><guid>https://blog.neputer.com/news/2026-06-24-human-like-memory-limits-make-ai-better-at-learning-gra/</guid><description>Researchers show that giving AI a fleeting, human-like memory dramatically improves grammar learning, challenging brute-force scaling approaches.</description></item></channel></rss>