AIF-C01 · Question #230
A company wants to improve its chatbot's responses to match the company's desired tone. The company has 100 examples of high-quality conversations between customer service agents and customers. The…
The correct answer is D. Create an Amazon Bedrock fine-tuning job. Bedrock’s fine-tuning lets you adapt a foundation model on your own conversation examples-in this case, the 100 high‑quality transcripts to instill your company’s tone directly into the model’s response generation.
Question
A company wants to improve its chatbot's responses to match 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 company tone into the chatbot's responses. Which solution meets these requirements?
Options
- AUse Amazon Personalize to generate responses.
- BCreate an Amazon SageMaker HyperPod pre-training job.
- CHost the model by using Amazon SageMaker. Use TensorRT for large language model (LLM)
- DCreate an Amazon Bedrock fine-tuning job.
How the community answered
(28 responses)- A7% (2)
- B11% (3)
- C18% (5)
- D64% (18)
Explanation
Bedrock’s fine-tuning lets you adapt a foundation model on your own conversation examples-in this case, the 100 high‑quality transcripts to instill your company’s tone directly into the model’s response generation.
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