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Oracle Exam 1Z0-1122-25 Topic 2 Question 3 Discussion

Actual exam question for Oracle's 1Z0-1122-25 exam
Question #: 3
Topic #: 2
[All 1Z0-1122-25 Questions]

How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance?

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Suggested Answer: D

Large Language Models (LLMs) handle the trade-off between model size, data quality, data size, and performance by balancing these factors to achieve optimal results. Larger models typically provide better performance due to their increased capacity to learn from data; however, this comes with higher computational costs and longer training times. To manage this trade-off effectively, LLMs are designed to balance the size of the model with the quality and quantity of data used during training, and the amount of time dedicated to training. This balanced approach ensures that the models achieve high performance without unnecessary resource expenditure.


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Marg
8 days ago
Definitely D. LLMs have to carefully manage all of those factors to deliver the most accurate and efficient results. It's not as simple as just going for the biggest model possible.
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Silva
10 days ago
I think the answer is D. From what I've read, the best LLMs achieve a balance between model size, data quality, and data size to optimize performance. Focusing solely on larger models or more data doesn't always lead to the best results.
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