Given the following code:
Prompt Template
(input_variable[''rhuman_input",'city''], template-template)
Which statement is true about Promt Template in relation to input_variables?

• A.PromptTemplate requires a minimum of two variables to function property.
• B.PromptTemplate can support only a single variable M a time.
• C.PromptTemplate supports Any number of variable*, including the possibility of having none.
• D.PromptTemplate is unable to use any variables.

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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?

• A.Hierarchical relationships; important for structuring database queries
• B.Linear relationships; they simplify the modeling process
• C.Semantic relationships; crucial for understanding context and generating precise language
• D.Temporal relationships; necessary for predicting future linguistic trends

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How are fine-tuned customer models stored to enable strong data privacy and security in the OCI Generative AI service?

• A.Shared among multiple customers for efficiency
• B.Stored in Key Management service
• C.Stored in an unencrypted form in Object Storage
• D.Stored in Object Storage encrypted by default

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How are fine-tuned customer models stored to enable strong data privacy and security in the OCI Generative AI service?

• A.Stored in Object Storage encrypted by default
• B.Shared among multiple customers for efficiency
• C.Stored in Key Management service
• D.Stored in an unencrypted form in Object Storage

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What does accuracy measure in the context of fine-tuning results for a generative model?

• A.The depth of the neural network layers used in the model
• B.The number of predictions a model makes, regardless of whether they are correct or incorrect
• C.How many predictions the model made correctly out of all the predictions in an evaluation
• D.The proportion of incorrect predictions made by the model during an evaluation

Correct Answer: C

Accuracy in machine learning measures the proportion of correct predictions made by a model relative to the total predictions during an evaluation.
How Accuracy is Calculated:

A higher accuracy indicates better model performance.
Used primarily in classification tasks, but it can also assess LLM fine-tuning results.
Why Other Options Are Incorrect:
(A) is incorrect because the number of neural network layers does not define accuracy.
(B) is incorrect because accuracy considers correctness, not just total predictions.
(D) is incorrect because accuracy measures correct predictions, not just incorrect ones.
🔹 Oracle Generative AI Reference:
Oracle AI assesses model fine-tuning performance using accuracy, loss, and perplexity to improve LLM capabilities.

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