Q99 — AWS AIF-C01 Ch.1

Question 99 of 100 | ← Chapter 1

A research company has developed a chatbot using a foundation model (FM) from Amazon Bedrock. This chatbot can search for answers to questions from a large database of research papers. After extensive prompt engineering experiments, the company finds that the FM performs poorly because research papers contain complex scientific terminology. What should the company do to improve the chatbot’s performance?

• A. Use few-shot prompting to define how the FM should answer questions.
• B. Use domain adaptation fine-tuning to adapt the FM to complex scientific terminology. ✓
• C. Change the FM inference parameters.
• D. Clean the research paper data to remove complex scientific terminology.

Correct Answer: B. Use domain adaptation fine-tuning to adapt the FM to complex scientific terminology.

Explanation

To improve the chatbot’s performance when handling research papers containing complex scientific terminology, the company should apply domain adaptation fine-tuning. This method adapts the foundation model (FM) to a specific domain or task, enabling it to better understand and process domain-specific language—such as complex scientific terms—and thereby enhance performance. Thus, option B is correct.