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Question 68 - AIF-C01 discussion

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A research company implemented a chatbot by using a foundation model (FM) from Amazon Bedrock. The chatbot searches for answers to questions from a large database of research papers.

After multiple prompt engineering attempts, the company notices that the FM is performing poorly because of the complex scientific terms in the research papers.

How can the company improve the performance of the chatbot?

A.
Use few-shot prompting to define how the FM can answer the questions.
Answers
A.
Use few-shot prompting to define how the FM can answer the questions.
B.
Use domain adaptation fine-tuning to adapt the FM to complex scientific terms.
Answers
B.
Use domain adaptation fine-tuning to adapt the FM to complex scientific terms.
C.
Change the FM inference parameters.
Answers
C.
Change the FM inference parameters.
D.
Clean the research paper data to remove complex scientific terms.
Answers
D.
Clean the research paper data to remove complex scientific terms.
Suggested answer: B
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asked 16/09/2024
Omer Awad
29 questions
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