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Oracle Exam 1Z0-1127-24 Topic 3 Question 2 Discussion

Actual exam question for Oracle's 1Z0-1127-24 exam
Question #: 2
Topic #: 3
[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

by Aracelis at Jun 03, 2024, 03:09 PM

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Meghan
5 months ago
This question is giving me a headache. I guess you could say it's a 'T-Few' too many options to choose from!
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Jarod
4 months ago
B) By allowing updates across all layers of the model
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Nan
4 months ago
A) By incorporating additional layers to the base model
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Noble
6 months ago
B) By allowing updates across all layers of the model. This comprehensive approach ensures the model can be fine-tuned to the specific task at hand, maximizing performance.
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Lindsey
5 months ago
B) By allowing updates across all layers of the model. This comprehensive approach ensures the model can be fine-tuned to the specific task at hand, maximizing performance.
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Vashti
5 months ago
A) By incorporating additional layers to the base model
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Tu
6 months ago
A) By incorporating additional layers to the base model. This expands the model's capacity and enables more fine-grained adjustments during the tuning process.
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Dalene
5 months ago
A) This expands the model's capacity and enables more fine-grained adjustments during the tuning process.
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Chana
6 months ago
B) By allowing updates across all layers of the model.
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Chauncey
6 months ago
A) By incorporating additional layers to the base model.
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Dean
6 months ago
I agree with Emeline. It allows for more flexibility in fine-tuning the model.
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Emeline
6 months ago
I think using T-Few transformer layers helps by incorporating additional layers to the base model.
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Kris
6 months ago
D) seems like the way to go. Gotta keep those transformer layers in check, or else they'll start taking over the whole fine-tuning process!
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India
5 months ago
D) seems like the way to go. Gotta keep those transformer layers in check, or else they'll start taking over the whole fine-tuning process!
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Norah
5 months ago
A) By incorporating additional layers to the base model
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Lyndia
5 months ago
D) seems like the way to go. Gotta keep those transformer layers in check, or else they'll start taking over the whole fine-tuning process!
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Alecia
5 months ago
A) By incorporating additional layers to the base model
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Martin
6 months ago
Definitely, keeping those transformer layers in check is crucial for the fine-tuning process.
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Dana
6 months ago
Agreed, we need to control which transformer layers are being fine-tuned to maintain efficiency.
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Hillary
6 months ago
I think D) By restricting updates to only a specific group of transformer layers is the best option.
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