Oracle Exam 1Z0-1127-24 Topic 1 Question 23 Discussion

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

Question #: 23
Topic #: 1

Accuracy in vector databases contributes to the effectiveness of Large Language Models (LLMs) by preserving a specific type of relationship.

What is the nature of these relationships, and why are they crucial for language models?

AHierarchical relationships; important for structuring database queries

BLinear relationships; they simplify the modeling process

CSemantic relationships; crucial for understanding context and generating precise language

DTemporal relationships; necessary for predicting future linguistic trends

Show Suggested Answer

Suggested Answer: D

by Merri at Jan 25, 2025, 11:42 PM

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Clay

3 months ago

Hmm, I'm torn between B and D. Stopping the generation or randomness, which one is more important for the AI models? Decisions, decisions.

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Caitlin

2 months ago

True, finding the right balance between randomness and stopping generation is key for AI models.

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Micah

2 months ago

But stopping the generation at a certain point is also crucial for generating coherent responses.

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Barney

2 months ago

I agree, the temperature parameter affects how creative the model's output can be.

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Rosalind

2 months ago

I think controlling the randomness is more important for creativity.

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Leonor

3 months ago

I bet if you crank up the temperature, the model would start spitting out some real wild and wacky stuff. Like a poem about a dancing toaster or something.

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Torie

3 months ago

D) seems like the right answer. Controlling the randomness is key for generating diverse and creative output.

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Lynette

2 months ago

D) Controls the randomness of the model's output, affecting its creativity

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Shasta

2 months ago

C) Assigns a penalty to tokens that have already appeared in the preceding text

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Werner

2 months ago

B) Specifies a string that tells the model to stop generating more content

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Kallie

2 months ago

A) Determines the maximum number of tokens the model can generate per response

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Shawna

3 months ago

Actually, I think the 'temperature' parameter assigns a penalty to tokens that have already appeared in the text.

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Georgeanna

3 months ago

I believe the 'temperature' parameter determines the maximum number of tokens the model can generate per response.

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Barney

3 months ago

I agree with Margot. Setting the temperature can affect how creative the model's responses are.

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Gail

3 months ago

The temperature parameter controls the randomness of the model's output? That's interesting, I wonder how it affects the creativity of the generated content.

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