Question 34
Domain 1: Generative AI with LLMs and PromptingWhat is Retrieval-Augmented Generation (RAG)?
Correct answer: B
Explanation
Retrieval-Augmented Generation (RAG) combines two steps: retrieving relevant information and then generating a response from it. The answer matches this definition by stating it is "a method combining retrieval and generation for responses."
Why each option is right or wrong
A. A training technique for transformers
B. A method combining retrieval and generation for responses
Retrieval-Augmented Generation is the standard architecture in which a model first retrieves relevant external documents or passages and then uses them to generate the final output. In this question, the only option that matches that two-stage process is the one describing a combined retrieval-plus-generation method; the other choices would not reflect the defining structure of RAG.
C. A model compression technique
D. An evaluation metric for language models