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

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

Which is a key advantage of usingT-Few over Vanilla fine-tuning in the OCI Generative AI service?

Show Suggested Answer Hide Answer
Suggested Answer: D

Contribute your Thoughts:

Chauncey
5 months ago
I'm just happy I don't have to spell 'T-Few' during the exam. That's a tongue-twister if I ever saw one!
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Wayne
5 months ago
I'm going with B. Enhanced generalization to unseen data. Isn't that what we all strive for in the world of AI? Bring on the versatile models!
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Lino
4 months ago
Reduced model complexity is also important, but I think B is the top advantage.
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Odette
5 months ago
I agree, B is definitely a key advantage. Generalization is crucial in AI.
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Rosalind
6 months ago
A. Reduced model complexity is the winner here. Simpler is better when it comes to AI, especially for the OCI Generative AI service.
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Aileen
5 months ago
D) Foster training time and lower cost
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Barney
5 months ago
B) Enhanced generalization to unseen data
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Andra
5 months ago
A) Reduced model complexity
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Paris
6 months ago
C. Increased model interpretability is the key advantage in my opinion. Gotta love those transparent AI models!
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Karina
6 months ago
D. Foster training time and lower cost is the way to go! Who doesn't love saving time and money in the AI world, am I right?
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Sherell
5 months ago
D) Foster training time and lower cost
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Rebeca
6 months ago
B) Enhanced generalization to unseen data
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Cammy
6 months ago
A) Reduced model complexity
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Charlene
6 months ago
I agree with Chun, using T-Few can help simplify the model.
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Chun
6 months ago
I think the key advantage is reduced model complexity.
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Hollis
6 months ago
I think the correct answer is B. Enhanced generalization to unseen data. T-Few seems like a more powerful technique for handling diverse inputs.
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Tabetha
5 months ago
I think it also helps with reducing model complexity, so A) Reduced model complexity could be another advantage.
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Deonna
5 months ago
I agree, B) Enhanced generalization to unseen data is a key advantage of using T-Few.
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Emile
5 months ago
I think it's D) Foster training time and lower cost. That's a big advantage for businesses.
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Kimberlie
5 months ago
Foster training time and lower cost are definitely benefits of T-Few over Vanilla fine-tuning.
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Cyril
5 months ago
Reduced model complexity is also important, but I think B) is the best choice.
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Anabel
6 months ago
I agree, B) Enhanced generalization to unseen data is a key advantage of using T-Few.
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Keshia
6 months ago
I agree, B) Enhanced generalization to unseen data is a key advantage of using T-Few.
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