Answer-first summary for fast verification
Answer: Pick a smaller LLM that is domain-specific
Option B is the optimal choice because it directly addresses the startup's specific needs: cost-consciousness and domain expertise. A smaller, domain-specific LLM is more cost-effective than larger general models while providing better performance for cancer research queries due to specialized training. This balances quality with affordability. Option A (limiting documents) would reduce application quality by restricting information access. Option C (limiting queries) would hinder customer needs by restricting usage. Option D (using the largest LLM) contradicts cost-consciousness as larger models are more expensive and may not be optimized for the cancer research domain.
Author: LeetQuiz Editorial Team
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A cost-conscious cancer research startup wants to build a high-quality RAG application using Foundation Model APIs. Which strategy should they adopt to balance application quality with cost-effectiveness and the ability to meet customer needs?
A
Limit the number of relevant documents available for the RAG application to retrieve from
B
Pick a smaller LLM that is domain-specific
C
Limit the number of queries a customer can send per day
D
Use the largest LLM possible because that gives the best performance for any general queries
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