International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Efficient Usage of RAG Systems in the World of LLMs

Author(s) Priyank Jayantilal Rathod
Country United States
Abstract The integration of Retrieval-Augmented Generation (RAG) systems with Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP). By leveraging RAG techniques, LLMs can access a broader range of information, improve coherence, and enhance the relevance of generated text. This paper explores the efficient usage of RAG systems in LLMs, highlighting their benefits, applications, and future implications.
Keywords Retrieval-Augmented Generation (RAG), Embeddings, Large Language Models, Natural Language Processing.
Field Engineering
Published In Volume 6, Issue 4, July-August 2024
Published On 2024-07-10
DOI https://doi.org/10.36948/ijfmr.2024.v06i04.36364
Short DOI https://doi.org/g83mds
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E-ISSN 2582-2160
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