Oracle Exam 1Z0-1127-24 Topic 1 Question 5 Discussion

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

Question #: 5
Topic #: 1

[All 1Z0-1127-24 Questions]

Which is a key characteristic of the annotation process used in T-Few fine-tuning?

AT-Few fine-tuning uses annotated data to adjust a fraction of model weights.

BT-Few fine-tuning requires manual annotation of input-output pain.

CT- Few fine-tuning involves updating the weights of all layers in the model.

DT-Few fine-tuning relies on unsupervised learning techniques for annotation.

Show Suggested Answer

Suggested Answer: D

by Leah at Jun 02, 2024, 09:05 AM

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An

11 months ago

C can't be right, that's just regular fine-tuning. T-Few is all about selectively updating the model weights.

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Ilene

10 months ago

B) T-Few fine-tuning requires manual annotation of input-output pair.

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Kindra

10 months ago

C can't be right, that's just regular fine-tuning. T-Few is all about selectively updating the model weights.

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Malika

10 months ago

A) T-Few fine-tuning uses annotated data to adjust a fraction of model weights.

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Ivory

11 months ago

Haha, D is a good one. Unsupervised learning for annotation? That's like trying to herd cats with a laser pointer!

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Latia

11 months ago

I disagree, I believe it's C) T-Few fine-tuning involves updating the weights of all layers in the model.

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Roxanne

11 months ago

I think the key characteristic is A) T-Few fine-tuning uses annotated data to adjust a fraction of model weights.

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Paz

11 months ago

I think B is correct. The annotation process for T-Few fine-tuning requires manual labeling of the input-output pairs, right?

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Tamesha

11 months ago

A seems like the right answer here. The key is that T-Few fine-tuning only adjusts a fraction of the model weights, not all of them.

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Alecia

10 months ago

Yeah, I agree. It's important to understand that not all weights are updated in this process.

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Felicidad

10 months ago

I think A is the correct answer. T-Few fine-tuning only adjusts a fraction of model weights.

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Avery

10 months ago

Yeah, that makes sense. It's important to understand that distinction.

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Lucina

11 months ago

I think A is the correct answer. T-Few fine-tuning adjusts only a fraction of model weights.

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Audry

11 months ago

You're correct. T-Few fine-tuning does indeed only adjust a fraction of the model weights.

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Iluminada

11 months ago

A) T-Few fine-tuning uses annotated data to adjust a fraction of model weights.

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