Mitigating Limitations of Large Language Models

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Questions and Answers

What technique involves accessing knowledge bases to supplement an LLM's outdated training data?

  • Fine-tuning
  • Retrieval augmentation (correct)
  • Prompt engineering
  • Query reduction

Which method involves crafting prompts with critical context to guide appropriate responses?

  • Retrieval augmentation
  • Hallucination risk reduction
  • Fine-tuning
  • Prompt engineering (correct)

What technique involves training the LLM on more appropriate data for the application domain?

  • Prompt engineering
  • Hallucination risk reduction
  • Data hallucination
  • Fine-tuning (correct)

Which of the following techniques helps reduce hallucination risk in an LLM?

<p>Prompt engineering (A)</p> Signup and view all the answers

What is the purpose of adapting the model's behavior for its specific purpose?

<p>Fine-tuning (C)</p> Signup and view all the answers

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