Questão 4 — Amazon AIF-C01 Simulado | AWS Certified AI Practitioner Questões e Respostas
Which AI technique combines large language models (LLMs) with external knowledge bases to improve response accuracy?
- A. Reinforcement learning (RL)
- B. Natural language processing (NLP)
- C. Retrieval Augmented Generation (RAG)
- D. Transfer learning
Resposta correta:
C
Explicação
Explanation: Comprehensive and Detailed Explanation From Exact AWS AI documents: Retrieval Augmented Generation (RAG) enhances LLM responses by: Retrieving relevant information from external knowledge sources Injecting retrieved content into the prompt context Reducing hallucinations and improving factual accuracy AWS generative AI guidance describes RAG as a best practice when models must use up-to-date or domain-specific knowledge that is not embedded in the model weights. Why the other options are incorrect: RL (A) focuses on reward-based learning. NLP (B) is a broad field, not a specific technique. Transfer learning (D) adapts model weights but does not retrieve external data at inference time. AWS AI document references: Retrieval Augmented Generation on AWS Improving LLM Accuracy with External Knowledge Generative AI Architectures