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What is an advantage of using Retrieval-Augmented Generation (RAG) for natural language processing (NLP) tasks?
A
RAG can use external knowledge sources to generate more accurate and informative responses.
B
RAG is designed to improve the speed of language model training.
C
RAG is primarily used for speech recognition tasks.
D
RAG is a technique for data augmentation in computer vision tasks.