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Oracle Exam 1Z0-1127-24 Topic 2 Question 10 Discussion

Actual exam question for Oracle's 1Z0-1127-24 exam
Question #: 10
Topic #: 2
[All 1Z0-1127-24 Questions]

How does the utilization of T-Few transformer layers contribute to the efficiency of the fine-tuning process?

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Suggested Answer: D

Contribute your Thoughts:

Eulah
18 days ago
I reckon option B is the way to go. Allowing updates across all layers ensures the model can adjust to the new task properly. Efficiency be damned, we want accuracy!
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Santos
19 days ago
I believe allowing updates across all layers of the model can provide more flexibility and better results in the fine-tuning process.
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Pearlie
20 days ago
Ha! Excluding the transformer layers? That's like trying to fine-tune a car by removing the engine. Gotta keep those layers in the mix, folks.
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Wilson
21 days ago
But wouldn't restricting updates to only a specific group of transformer layers be more efficient?
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Jenise
21 days ago
I'm not sure about that. Excluding the transformer layers entirely, as in option C, could be a more efficient approach. Might be worth exploring that further.
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Dalene
3 days ago
User 1: I think adding more layers, like in option A, could help improve the fine-tuning process.
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Margart
24 days ago
I agree, adding more layers can improve the model's performance during fine-tuning.
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Cortney
1 months ago
Option D seems to be the way to go. Restricting updates to a specific group of transformer layers helps maintain the model's overall efficiency during fine-tuning.
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Miles
19 days ago
I agree, focusing updates on specific transformer layers can be beneficial.
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Aron
1 months ago
I think the utilization of T-Few transformer layers helps by incorporating additional layers to the base model.
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