Oracle Exam 1Z0-1127-24 Topic 2 Question 10 Discussion

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

Question #: 10
Topic #: 2

Which Oracle Accelerated Data Science (ADS) class can be used to deploy a Large Language Model (LLM) application to OCI Data Science model deployment?

ARetrievalQA

BText Leader

CChain Deployment

DGenerativeAI

Show Suggested Answer

Suggested Answer: D

by Luther at Jul 16, 2024, 11:21 AM

Limited Time Offer

25%

Off

Get Premium 1Z0-1127-24 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Eulah

11 months ago

I reckon option B is the way to go. Allowing updates across all layers ensures the model can adjust to the new task properly. Efficiency be damned, we want accuracy!

upvoted 0 times

...

Santos

11 months ago

I believe allowing updates across all layers of the model can provide more flexibility and better results in the fine-tuning process.

upvoted 0 times

...

Pearlie

11 months ago

Ha! Excluding the transformer layers? That's like trying to fine-tune a car by removing the engine. Gotta keep those layers in the mix, folks.

upvoted 0 times

...

Wilson

11 months ago

But wouldn't restricting updates to only a specific group of transformer layers be more efficient?

upvoted 0 times

...

Jenise

11 months ago

I'm not sure about that. Excluding the transformer layers entirely, as in option C, could be a more efficient approach. Might be worth exploring that further.

upvoted 0 times

Caitlin

10 months ago

What about option D, where updates are restricted to specific groups of transformer layers? That could be a good middle ground.

upvoted 0 times

...

Chun

10 months ago

I'm not sure about that. I feel like excluding transformer layers completely, as in option C, might be a better approach.

upvoted 0 times

...

Dalene

10 months ago

I think adding more layers, like in option A, could help improve the fine-tuning process.

upvoted 0 times

...

Margart

11 months ago

I agree, adding more layers can improve the model's performance during fine-tuning.

upvoted 0 times

...

Cortney

11 months ago

Option D seems to be the way to go. Restricting updates to a specific group of transformer layers helps maintain the model's overall efficiency during fine-tuning.

upvoted 0 times