<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	
	>
<channel>
	<title>
	Commentaires sur : Retrieval augmented generation (RAG) encompasses a family of systems that extend conventional language models , large and otherwise (LLMs), to incorporate context based on retrieved knowledge from a document base, thereby leading to more truthful and relevant responses being generated upon user queries. Auteur: Iván Palomares Carrascosa	</title>
	<atom:link href="https://www.zerembox.com/retrieval-augmented-generation-rag-encompasses-a-family-of-systems-that-extend-conventional-language-models-large-and-otherwise-llms-to-incorporate-context-based-on-retrieved-knowledge-from-a-d/feed/" rel="self" type="application/rss+xml" />
	<link>https://www.zerembox.com/retrieval-augmented-generation-rag-encompasses-a-family-of-systems-that-extend-conventional-language-models-large-and-otherwise-llms-to-incorporate-context-based-on-retrieved-knowledge-from-a-d/?utm_source=rss&#038;utm_medium=rss&#038;utm_campaign=retrieval-augmented-generation-rag-encompasses-a-family-of-systems-that-extend-conventional-language-models-large-and-otherwise-llms-to-incorporate-context-based-on-retrieved-knowledge-from-a-d</link>
	<description>L&#039;automatisation de vos processus</description>
	<lastBuildDate>Tue, 01 Apr 2025 13:28:42 +0000</lastBuildDate>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=6.9.4</generator>
</channel>
</rss>
