AWS Certified AI Practitioner AIF-C01Demo

By Amazon · Question Mode

QuestionQ46

Fundamentals of GenAI

A company wants to improve its chatbot responses so they align with the company’s desired tone. The company has 100 examples of high-quality conversations between customer service agents and customers. The company wants to use this data to incorporate the company tone into the chatbot’s responses.

Which solution satisfies these requirements?

  • A Use Amazon Personalize to generate responses.
  • B Create an Amazon SageMaker HyperPod pre-training job.
  • C Host the model by using Amazon SageMaker. Use TensorRT for large language model (LLM) deployment.
  • D Create an Amazon Bedrock fine-tuning job.
Explanation

Amazon Bedrock fine-tuning creates a customized model by training a foundation model on the company’s example conversations, allowing the model to learn the desired response style and tone. AWS documents that a fine-tuning job customizes a base model using specified training data.

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