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Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 24 discussion

Exam question from Amazon's AWS Certified AI Practitioner AIF-C01
Question #: 24
Topic #: 1
[All AWS Certified AI Practitioner AIF-C01 Questions]

A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention.
The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.
Which solution meets these requirements?

  • A. Set a low limit on the number of tokens the FM can produce.
  • B. Use batch inferencing to process detailed responses.
  • C. Experiment and refine the prompt until the FM produces the desired responses.
  • D. Define a higher number for the temperature parameter.
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Suggested Answer: C 🗳️
by jove at Nov. 5, 2024, 7:29 p.m.
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Moon
1 week, 2 days ago
Selected Answer: C
C: Experiment and refine the prompt until the FM produces the desired responses. Explanation: To ensure that the chatbot adheres to the company's tone and provides appropriate responses, prompt engineering is essential. By experimenting and refining the prompt, you can guide the foundation model (FM) to produce responses that align with the desired tone, style, and content. This approach allows you to set the context and expectations for the chatbot's replies.
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ap6491
1 week, 5 days ago
Selected Answer: C
Prompt engineering is the most effective way to ensure that a foundation model (FM) produces outputs adhering to a company’s tone and specific requirements. By iteratively testing and refining prompts, you can guide the FM to produce responses that align with the desired style, tone, and content accuracy.
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jove
2 months ago
Selected Answer: C
Refining the prompt is the answer
upvoted 4 times
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