Oracle Cloud Infrastructure Generative AI Professional 1z0 1127 24 · Free Practice Question Medium
Question 3
Which is a cost-related benefit of using vector databases with Large Language Models (LLMs)?
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A
They are more expensive but provide higher quality data.
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B
They offer real-time updated knowledge bases and are cheaper than fine-tuned LLMs.
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C
They increase the cost due to the need for real-time updates.
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D
They require frequent manual updates, which increase operational costs.
Reveal correct answer
Correct answer: B
Explanation
Vector databases improve search efficiency, reducing computation time and costs for querying large-scale data with LLMs.
A. This choice is incorrect because while vector databases with Large Language Models (LLMs) may be more expensive, the cost-related benefit lies in their ability to offer real-time updated knowledge bases, not necessarily in providing higher quality data. The cost-effectiveness comes from the real-time updating feature, not the quality of the data.
B. Vector databases with Large Language Models (LLMs) offer cost-related benefits by providing real-time updated knowledge bases, which can be more cost-effective compared to constantly fine-tuning LLMs. This real-time updating feature helps in keeping the knowledge bases current without the need for expensive manual interventions.
C. This choice is incorrect because vector databases with Large Language Models (LLMs) do not necessarily increase costs due to the need for real-time updates. In fact, they can be more cost-effective compared to fine-tuned LLMs because of their ability to provide real-time updated knowledge bases without the need for extensive manual interventions.
D. This choice is incorrect because vector databases with Large Language Models (LLMs) do not necessarily require frequent manual updates, which would increase operational costs. In fact, their real-time updating capabilities can reduce the need for manual interventions, leading to cost savings in the long run.
Discussion
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