Oracle Exam 1Z0-1127-24 Topic 2 Question 12 Discussion

Actual exam question for Oracle's 1Z0-1127-24 exam

Question #: 12
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?

ABy incorporating additional layers to the base model

BBy allowing updates across all layers of the model

CBy excluding transformer layers from the fine-tuning process entirely

DBy restricting updates to only a specific croup of transformer Layers

Show Suggested Answer

Suggested Answer: D

by Willow at Aug 24, 2024, 01:42 PM

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Mitzie

3 months ago

D) Bingo! Selective fine-tuning is the way to go. Any more layers and it's like trying to teach an old dog new tricks - too much baggage to deal with.

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Kristian

3 months ago

This question is making my head spin more than a Transformer's wheels! But I'm going to have to go with D - keeping the updates targeted is key.

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Chaya

1 months ago

I see your point, but excluding transformer layers entirely could limit the model's performance.

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Lavonda

2 months ago

True, but allowing updates across all layers might provide more flexibility in some cases.

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Rosendo

2 months ago

I think incorporating additional layers could also help improve the fine-tuning process.

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Lashawnda

2 months ago

I agree, keeping the updates targeted definitely helps with efficiency.

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Herminia

3 months ago

A) By incorporating additional layers to the base model? Sounds like a recipe for overfitting to me. I'll go with D.

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Jose

3 months ago

D) By restricting updates to only a specific group of transformer layers. Efficient fine-tuning is all about striking the right balance between flexibility and parameter count.

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