<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Llm on Fred</title><link>https://site.fredlab.dev/tags/llm/</link><description>Recent content in Llm on Fred</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2020-2024 Thulite</copyright><lastBuildDate>Sun, 12 Jan 2025 16:27:22 +0200</lastBuildDate><atom:link href="https://site.fredlab.dev/tags/llm/index.xml" rel="self" type="application/rss+xml"/><item><title>EEvaluating LLM Applications in the Enterprise: A Major Challenge</title><link>https://site.fredlab.dev/blog/eevaluating-llm-applications-in-the-enterprise-a-major-challenge/</link><pubDate>Sun, 12 Jan 2025 16:27:22 +0200</pubDate><guid>https://site.fredlab.dev/blog/eevaluating-llm-applications-in-the-enterprise-a-major-challenge/</guid><description>Large Language Models (LLMs) are revolutionizing enterprise automation and decision-making, but evaluating their effectiveness with proprietary data poses unique challenges. This post explores these complexities and their critical importance for successful enterprise adoption.</description></item></channel></rss>