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Exam AWS Certified AI Practitioner AIF-C01 All Questions

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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 139 discussion

A company’s large language model (LLM) is experiencing hallucinations.

How can the company decrease hallucinations?

  • A. Set up Agents for Amazon Bedrock to supervise the model training.
  • B. Use data pre-processing and remove any data that causes hallucinations.
  • C. Decrease the temperature inference parameter for the model.
  • D. Use a foundation model (FM) that is trained to not hallucinate.
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Suggested Answer: C 🗳️

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kopper2019
17 hours, 36 minutes ago
C is the correct answer. Here's why: Decreasing the temperature parameter makes the model's outputs more deterministic and conservative, reducing the likelihood of hallucinations.
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Jessiii
1 day, 15 hours ago
Selected Answer: C
The temperature parameter controls the randomness of the model's output. Lowering the temperature makes the model's responses more deterministic and focused, reducing the likelihood of generating incorrect or nonsensical information (hallucinations).
upvoted 1 times
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chris_spencer
1 week, 2 days ago
Selected Answer: C
Decreasing the temperature reduces the variety of answer and forcing the model to focus on the tuned patterns
upvoted 1 times
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