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Oracle Exam 1Z0-1122-24 Topic 5 Question 8 Discussion

Actual exam question for Oracle's 1Z0-1122-24 exam

Question #: 8
Topic #: 5

[All 1Z0-1122-24 Questions]

How is "Prompt Engineering" different from "Fine-tuning" in the context of Large Language Models (LLMs)?

APrompt Engineering creates input prompts, while Fine-tuning retrains the model on specific data.

BBoth involve retraining the model, but Prompt Engineering does it more often.

CPrompt Engineering adjusts the model's parameters, while Fine-tuning crafts input prompts.

DPrompt Engineering modifies training data, while Fine-tuning alters the model's structure.

Show Suggested Answer

Suggested Answer: A

Explicability is the AI Ethics principle that leads to the Responsible AI requirement of transparency. This principle emphasizes the importance of making AI systems understandable and interpretable to humans. Transparency is a key aspect of explicability, as it ensures that the decision-making processes of AI systems are clear and comprehensible, allowing users to understand how and why a particular decision or output was generated. This is critical for building trust in AI systems and ensuring that they are used responsibly and ethically.

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by Antonio at Sep 18, 2024, 10:48 AM

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Wenona

7 months ago

Explicability makes the most sense here. Can't have responsible AI without that juicy transparency!

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Vincent

6 months ago

B) Prevention of harm

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Chau

6 months ago

Definitely, transparency is key for responsible AI.

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Jerlene

6 months ago

A) Explicability

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Frankie

7 months ago

A all the way! Gotta keep those AI systems honest and open, you know?

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Alberta

7 months ago

I'd go with A as well. Transparency and explainability are essential for ethical AI.

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Barrett

6 months ago

D) Fairness

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Celia

6 months ago

Yes, being able to explain AI decisions is crucial for transparency.

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Martina

6 months ago

A) Explicability

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Pansy

6 months ago

I think it's more about being transparent than preventing harm.

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Madalyn

6 months ago

B) Prevention of harm

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Mertie

6 months ago

Definitely A. Transparency is key in AI ethics.

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Rupert

7 months ago

A) Explicability

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Tamala

7 months ago

Definitely A. Explicability is the foundation for responsible AI development.

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Felicia

7 months ago

I'm not sure, but I think it's A) Explicability too. It makes sense to me.

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Telma

7 months ago

I think the answer is A) Explicability. Transparency is key for AI systems to be accountable and explainable.

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Marti

6 months ago

That's right, being able to explain AI decisions is essential for responsible AI.

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Jill

7 months ago

Yes, transparency is crucial for accountability in AI systems.

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Isaac

7 months ago

I believe the answer is A) Explicability.

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Joanna

7 months ago

I agree with Tiera, transparency is achieved through Explicability.

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Tiera

8 months ago

I think the answer is A) Explicability.

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