NCA-GENL: Generative AI and LLMsDemo

By NVIDIA · Question Mode

QuestionQ12

Trustworthy AI

How can Retrieval Augmented Generation (RAG) assist developers in building a trustworthy AI system?

  • A RAG can enhance the security features of AI systems, ensuring confidential computing and encrypted traffic.
  • B RAG can improve the energy efficiency of AI systems, reducing their environmental impact and cooling requirements.
  • C RAG can align AI models with one another, improving the accuracy of AI systems through cross-checking.
  • D RAG can generate responses that cite reference material from an external knowledge base, ensuring transparency and verifiability.
Explanation

RAG grounds generated responses in retrieved material from an external knowledge base and can return citations to that source material. Those citations make the response transparent and allow its factual basis to be verified.

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