Retrieval-Augmented Generation vs. Baseline LLMs: A Multi-Metric Evaluation for Knowledge-Intensive Content

(1) Background: The development of Generative Artificial Intelligence (GenAI) is transforming knowledge-intensive domains such as Education. However, Large Language Models (LLMs), which serve as the foundational components for GenAI tools, are trained on static datasets, often producing misleading,...

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Principais autores:	Aparna Vinayan Kozhipuram, Samar Shailendra, Rajan Kadel
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2025-09-01
Serija:	Information
Teme:	Generative AI (GenAI) Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) AI in education
Online dostop:	https://www.mdpi.com/2078-2489/16/9/766
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