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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 69 discussion

An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.
Which solution meets these requirements with the LEAST implementation effort?

  • A. Fine-tune the model by using additional training data that is representative of the various age ranges that the application will support.
  • B. Add a role description to the prompt context that instructs the model of the age range that the response should target.
  • C. Use chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.
  • D. Summarize the response text depending on the age of the user so that younger users receive shorter responses.
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Suggested Answer: B 🗳️

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Blair77
Highly Voted 5 months, 1 week ago
Selected Answer: B
Adding a role description to the prompt is a straightforward approach that requires minimal changes to the existing model infrastructure. This method leverages prompt engineering, which is often easier and faster to implement than fine-tuning or retraining a model.
upvoted 5 times
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Rcosmos
Most Recent 2 weeks, 4 days ago
Selected Answer: B
Essa abordagem é simples, eficaz e de baixo esforço de implementação. Modelos de IA generativa, especialmente os baseados em prompt engineering, respondem bem a instruções contextuais.Ao incluir no prompt algo como “Explique este conceito para uma criança de 10 anos” ou “Responda como se estivesse falando com um universitário”, o modelo adapta o estilo e a complexidade da resposta automaticamente
upvoted 1 times
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Jessiii
2 months ago
Selected Answer: B
B. Add a role description to the prompt context: This approach leverages prompt engineering, where you include specific instructions within the input to guide the model's response style. By adding the age range of the user to the prompt, you can influence the style and complexity of the model’s answer based on that information. This is a highly efficient and low-effort solution that doesn't require fine-tuning the model or complex setups.
upvoted 1 times
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jove
5 months, 1 week ago
Selected Answer: B
B ) Use prompt engineering
upvoted 3 times
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