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

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

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

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Suggested Answer: D

Contribute your Thoughts:

Leigha
6 months ago
Loss? Sounds like the model is auditioning for a role in a tragic drama. 'Oh, the humanity! The loss is just too much to bear!'
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Mariko
6 months ago
C) Improvement in accuracy during training? Ah, the classic 'bettering yourself' approach. I wonder if the model gets a gold star at the end of the day.
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Goldie
5 months ago
C) Haha, maybe the model does deserve a gold star for improving its accuracy!
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Launa
5 months ago
A
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Nieves
6 months ago
D) The level of incorrectness, huh? Sounds like a polite way of saying 'How badly is this thing messing up?' I like the honesty in that approach.
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Kenneth
5 months ago
D
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Paulina
5 months ago
C
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Joaquin
5 months ago
A
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Merri
6 months ago
B) The percentage of incorrect predictions? Sounds like a good old-fashioned way to measure how well the model is doing. Gotta keep it simple, am I right?
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Jamey
6 months ago
I agree with Malcom, lower values of 'Loss' indicate better performance of the model.
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Malcom
6 months ago
I think 'Loss' measures the level of incorrectness in the model's predictions.
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Mabel
6 months ago
A) Ah, the good old 'Loss' metric - it's like a secret language that only the AI wizards can understand. I'd say it's the difference between the model's accuracy at the start and end of training, like a grand reveal of how much it's learned.
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Galen
5 months ago
B) Yeah, it's a way to measure how well the model is performing by looking at its mistakes.
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Erasmo
5 months ago
A) It's like a progress report for the AI model, showing how much it has improved over time.
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Shanda
6 months ago
B) I think 'Loss' is all about how many mistakes the model made during training compared to the total predictions.
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Audra
6 months ago
B) I think 'Loss' is all about measuring how far off the model's predictions are from the actual outcomes.
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Tawanna
6 months ago
A) Yeah, 'Loss' is like a progress report for the AI model, showing how much it has improved over time.
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Theron
6 months ago
A) Yeah, 'Loss' is like the AI's report card, showing how much it improved.
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