AWS Certified AI Practitioner (AIF-C01) — Question 55
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?
Answer options
- 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.
- C. Change the FM inference parameters.
- D. Clean the research paper data to remove complex scientific terms.
Correct answer: B
Explanation
The correct answer is B because domain adaptation fine-tuning allows the foundation model to better understand and handle the specific scientific terminology found in the research papers. Options A and C do not directly address the issue of complex vocabulary, while option D may hinder the integrity of the research data by removing important terms.