Oracle Exam 1Z0-1127-24 Topic 1 Question 9 Discussion

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

Question #: 9
Topic #: 1

What does "Loss" measure in the evaluation of OCI Generative AI fine-tuned models?

The difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model

AThe difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model

BThe percentage of incorrect predictions made by the model compared with the total number of predictions in the evaluation

CThe improvement in accuracy achieved by the model during training on the user-uploaded data set

DThe level of incorrectness in the models predictions, with lower values indicating better performance

Show Suggested Answer

Suggested Answer: D

by Dorothea at Jul 08, 2024, 11:22 AM

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Alisha

4 months ago

Loss? More like 'Toss' this question in the bin, am I right? Anyway, A seems like the winner.

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Nydia

4 months ago

Wait, is this some kind of trick question? I'm still leaning towards A.

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Becky

3 months ago

I'm sticking with A, the difference between accuracy at the beginning and deployed model.

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Eden

4 months ago

I'm not sure, but I believe it's D, the level of incorrectness in predictions.

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Joanne

4 months ago

I think it's B, the percentage of incorrect predictions.

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Marica

4 months ago

Yes, that's true. It's about the difference in accuracy as well.

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Jamie

4 months ago

But isn't 'Loss' also about the difference between the accuracy at the beginning and the deployed model?

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Belen

4 months ago

This is a tricky one, but I'm betting A is the right answer.

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Katheryn

4 months ago

I agree with Marica, lower values of 'Loss' indicate better performance.

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Candida

4 months ago

I was a bit confused at first, but after thinking it through, A makes the most sense.

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Carmela

4 months ago

D: Yeah, lower loss values indicate better performance in the predictions.

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Marsha

4 months ago

C: So, it's basically showing how much the model has improved over time.

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Dorothy

4 months ago

B: That makes sense, it's like comparing the initial performance to the final performance.

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Omega

4 months ago

A: I think it measures the difference between the accuracy of the model at the beginning of training and the accuracy of the deployed model.

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France

5 months ago

D is an interesting option, but I'm confident A is the correct answer.

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Lili

3 months ago

Let's go with A then.

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Rory

4 months ago

I agree, A seems to be the most accurate choice.

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Nan

4 months ago

I think A is the correct answer.

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Dean

5 months ago

Hmm, B seems like a plausible answer too, but I'm going with A.

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Alberto

5 months ago

I think the answer is A. The loss measures the difference in accuracy between the initial model and the deployed model.

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Kimbery

4 months ago

Yeah, the loss measures the difference in accuracy between the initial model and the deployed model.

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Lindy

4 months ago

I think the answer is A.

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Marica

5 months ago

I think 'Loss' measures the level of incorrectness in the model's predictions.

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