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AIF-C01 · Question #368

A company is using a large language model (LLM) to create a generative AI assistant. The company must choose an AI technique to ensure that the AI assistant generates the most factually correct…

The correct answer is A. Hallucinations. Retrieval Augmented Generation reduces hallucinations by grounding the model’s responses in authoritative external data sources, which helps ensure that generated answers are based on factual and verifiable information rather than the model inventing incorrect details.

Submitted by neha2k· Mar 30, 2026

Question

A company is using a large language model (LLM) to create a generative AI assistant. The company must choose an AI technique to ensure that the AI assistant generates the most factually correct responses. The company selects the Retrieval Augmented Generation (RAG) technique. Which limitation of LLMs is the company trying to reduce?

Options

  • AHallucinations
  • BSecurity
  • CNondeterminism
  • DInterpretability

How the community answered

(59 responses)
  • A
    92% (54)
  • B
    5% (3)
  • C
    2% (1)
  • D
    2% (1)

Explanation

Retrieval Augmented Generation reduces hallucinations by grounding the model’s responses in authoritative external data sources, which helps ensure that generated answers are based on factual and verifiable information rather than the model inventing incorrect details.

Topics

#RAG#LLM hallucinations#Generative AI

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