Oracle Exam 1Z0-1127-24 Topic 2 Question 18 Discussion

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

Question #: 18
Topic #: 2

[All 1Z0-1127-24 Questions]

When is fine-tuning an appropriate method for customizing a Large Language Model (LLM)?

AWhen the LLM requires access to the latest data for generating outputs

BWhen the LLM already understands the topics necessary for text generation

CWhen the LLM does not perform well on a task and the data for prompt engineering is too large

DWhen you want to optimize the model without any instructions

Show Suggested Answer

Suggested Answer: B

by Alesia at Sep 17, 2024, 02:16 AM

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Mirta

8 months ago

Hold up, is there a Conversation Burger Memory too? I'm getting hungry just thinking about it.

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Rosio

7 months ago

D) Conversation Summary Memory

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Lucina

7 months ago

D) Conversation Summary Memory

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Wade

7 months ago

C) Conversation Buffer Memory

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Nancey

7 months ago

B) Conversation ImgeMemory

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Bulah

7 months ago

A) Conversation Token Buffer Memory

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Tegan

7 months ago

C) Conversation Buffer Memory

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Isabelle

8 months ago

B) Conversation ImgeMemory

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Annmarie

8 months ago

A) Conversation Token Buffer Memory

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Reyes

9 months ago

I bet the correct answer is A. Conversation Token Buffer Memory. It just sounds the most technical and built-in-y, you know?

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Cordell

7 months ago

I agree with you, A does sound like the most built-in memory type.

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Viki

8 months ago

I'm not so sure, I think it could be D. Conversation Summary Memory.

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Julian

8 months ago

I think you might be right, A does sound like a technical memory type.

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Ona

9 months ago

Hmm, I'm leaning towards D. Conversation Summary Memory. Seems like a useful feature to have, right?

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Antonio

8 months ago

I agree with you, D does seem like a useful feature to have.

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Fabiola

8 months ago

I'm not sure, but I would go with C. Conversation Buffer Memory.

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Tracie

8 months ago

I think it's B. Conversation Image Memory.

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Oretha

9 months ago

I'm not sure, but I think D) Conversation Summary Memory could also be a possibility.

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Renay

9 months ago

I agree with Donte, because LangChain doesn't mention anything about Image Memory.

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William

9 months ago

Haha, good one Agustin! But seriously, I think the answer is C. Conversation Buffer Memory. Sounds like a fancy name for a simple thing.

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Susy

8 months ago

Let's check the LangChain documentation to be sure about the correct answer.

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Eugene

8 months ago

I'm not sure, but I think A) Conversation Token Buffer Memory is not a built-in memory type.

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Aretha

9 months ago

I think it's D) Conversation Summary Memory, that doesn't seem like a built-in memory type.

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Ceola

9 months ago

I agree with you, C) Conversation Buffer Memory does sound like a fancy name.

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Agustin

9 months ago

I'm pretty sure it's B. Conversation ImgeMemory - I mean, who needs image memory in a language model?

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Cyril

9 months ago

Yeah, I agree. It's probably not a built-in memory type in LangChain.

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Hershel

9 months ago

I think you're right, Conversation ImgeMemory does seem unnecessary.

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Donte

9 months ago

I think the answer is B) Conversation Image Memory.

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