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Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions (Q58-Q63):

NEW QUESTION # 58
Which statement is true about the "Top p" parameter of the OCI Generative AI Generation models?

A. Top p selects tokens from the "Top k' tokens sorted by probability.
B. Top p assigns penalties to frequently occurring tokens.
C. Top p limits token selection based on the sum of their probabilities.
D. Top p determines the maximum number of tokens per response.

Answer: C

Explanation:
The "Top p" parameter, also known as nucleus sampling, in generative AI models limits token selection based on the sum of their probabilities. It ensures that the cumulative probability of the selected tokens meets or exceeds a specified threshold p. This approach dynamically includes as many tokens as necessary to reach the desired probability sum, allowing for more diverse and contextually appropriate outputs compared to a fixed top-k selection.
Reference
Research papers on nucleus sampling and token selection methods
OCI Generative AI model documentation

NEW QUESTION # 59
Which statement is true about string prompt templates and their capability regarding variables?

A. They can only support a single variable at a time.
B. They support any number of variables, including the possibility of having none.
C. They require a minimum of two variables to function properly.
D. They are unable to use any variables.

Answer: B

Explanation:
A string prompt template is a mechanism used to structure prompts dynamically by inserting variables. These templates are commonly used in LLM-powered applications like chatbots, text generation, and automation tools.
How Prompt Templates Handle Variables:
They support an unlimited number of variables or can work without any variables.
Variables are typically denoted by placeholders such as {variable_name} or {{variable_name}} in frameworks like LangChain or Oracle AI.
Users can dynamically populate these placeholders to generate different prompts without rewriting the entire template.
Example of a Prompt Template:
Without variables: "What is the capital of France?"
With one variable: "What is the capital of {country}?"
With multiple variables: "What is the capital of {country}, and what language is spoken there?" Why Other Options Are Incorrect:
(B) is false because templates can work with one or no variables.
(C) is false because templates rely on variables for dynamic input.
(D) is false because templates can handle multiple placeholders.
🔹 Oracle Generative AI Reference:
Oracle integrates prompt engineering capabilities into its AI platforms, allowing developers to create scalable, reusable prompts for various AI applications.

NEW QUESTION # 60
An AI development company is working on an advanced AI assistant capable of handling queries in a seamless manner. Their goal is to create an assistant that can analyze images provided by users and generate descriptive text, as well as take text descriptions and produce accurate visual representations. Considering the capabilities, which type of model would the company likely focus on integrating into their AI assistant?

A. A Retrieval Augmented Generation (RAG) model that uses text as input and output
B. A Large Language Model based agent that focuses on generating textual responses
C. A language model that operates on a token-by-token output basis
D. A diffusion model that specializes in producing complex outputs.

Answer: A

NEW QUESTION # 61
ow do Dot Product and Cosine Distance differ in their application to comparing text embeddings in natural language?

A. Dot Product calculates the literal overlap of words, whereas Cosine Distance evaluates the stylistic similarity.
B. Dot Product measures the magnitude and direction vectors, whereas Cosine Distance focuses on the orientation regardless of magnitude.
C. Dot Product is used for semantic analysis, whereas Cosine Distance is used for syntactic comparisons.
D. Dot Product assesses the overall similarity in content, whereas Cosine Distance measures topical relevance.

Answer: B

NEW QUESTION # 62
What is the purpose of the "stop sequence" parameter in the OCI Generative AI Generation models?

A. It specifies a string that tells the model to stop generating more content
B. It com rob the randomness of the model* output, affecting its creativity.
C. It assigns a penalty to frequently occurring tokens to reduce repetitive text.
D. It determines the maximum number of tokens the model can generate per response.

Answer: A

NEW QUESTION # 63
......

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