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A company has deployed a chatbot using an Amazon Bedrock foundation model (FM) to answer questions by searching a large database of research papers. Despite multiple prompt engineering efforts, the chatbot's performance remains poor due to the complexity of the scientific terminology in the papers. What should the company do to enhance the chatbot's performance?
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.