AWS Certified AI Practitioner (AIF-C01) — Question 259

Which statement accurately describes Retrieval Augmented Generation (RAG)?

Answer options

• A. A process that uses large amounts of new data to train large language models (LLMs) to improve LLM performance
• B. A process by which large language models (LLMs) reference external authoritative knowledge bases to enhance the relevance and accuracy of LLM responses without re-training
• C. A process that limits large language models (LLMs) exclusively to their original training data to improve response speed for business applications without re-training
• D. A process that focuses on language translation tasks for businesses that operate in multiple countries

Correct answer: B

Explanation

The correct answer is B because Retrieval Augmented Generation (RAG) allows large language models to access external knowledge bases to improve their responses without the need for retraining. Option A is incorrect as it suggests retraining with new data, while option C limits LLMs to their original training data, which contradicts the RAG process. Option D is also wrong as RAG is not specifically focused on language translation tasks.