AIF-C01 Question #211: Real Exam Question with Answer & Explanation

The correct answer is A: RAG can use external knowledge sources to generate more accurate and informative responses.. By retrieving relevant documents or data at inference time and conditioning the generation on that external knowledge, RAG enriches model outputs with up-to-date, domain-specific information, boosting accuracy and informativeness without retraining the core model.

Submitted by helene.fr· Mar 30, 2026Generative AI Concepts

Question

Which statement presents an advantage of using Retrieval Augmented Generation (RAG) for natural language processing (NLP) tasks?

Options

ARAG can use external knowledge sources to generate more accurate and informative responses.
BRAG is designed to improve the speed of language model training.
CRAG is primarily used for speech recognition tasks.
DRAG is a technique for data augmentation in computer vision tasks.

Explanation

By retrieving relevant documents or data at inference time and conditioning the generation on that external knowledge, RAG enriches model outputs with up-to-date, domain-specific information, boosting accuracy and informativeness without retraining the core model.

Topics

#Retrieval Augmented Generation#RAG#Natural Language Processing

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