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: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
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MDPI AG
2025-09-01
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| coleção: | Information |
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| Acesso em linha: | https://www.mdpi.com/2078-2489/16/9/766 |
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