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Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions (Q64-Q69):

NEW QUESTION # 64
Which statement best describes the role of encoder and decoder models in natural language processing?

A. Encoder models are used only for numerical calculations, whereas decoder models are used to interpret the calculated numerical values back into text.
B. Encoder models and decoder models both convert sequence* of words into vector representations without generating new text.
C. Encoder models convert a sequence of words into a vector representation, and decoder models take this vector representation to sequence of words.
D. Encoder models take a sequence of words and predict the next word in the sequence, whereas decoder models convert a sequence of words into a numerical representation.

Answer: C

NEW QUESTION # 65
Which is the main characteristic of greedy decoding in the context of language model word prediction?

A. It requires a large temperature setting to ensure diverse word selection.
B. It chooses words randomly from the set of less probable candidates.
C. It picks the most likely word email at each step of decoding.
D. It selects words bated on a flattened distribution over the vocabulary.

Answer: C

Explanation:
Greedy decoding in the context of language model word prediction refers to a decoding strategy where, at each step, the model selects the word with the highest probability (the most likely word). This approach is simple and straightforward but can sometimes lead to less diverse or creative outputs because it always opts for the most likely option without considering alternative sequences that might result in better overall sentences.
Reference
Research papers on decoding strategies in language models
Technical documentation on language model inference methods

NEW QUESTION # 66
Why is normalization of vectors important before indexing in a hybrid search system?

A. It standardizes vector lengths for meaningful comparison using metrics such as Cosine Similarity.
B. It significantly reduces the size of the database.
C. It converts all sparse vectors to dense vectors.
D. It ensures that all vectors represent keywords only.

Answer: A

NEW QUESTION # 67
Which statement describes the difference between Top V and Top p" in selecting the next token in the OCI Generative AI Generation models?

A. Top k and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.
B. Top k and Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.
C. Top K considers the sum of probabilities of the top tokens, whereas Top" selects from the Top k" tokens sorted by probability.
D. Top k selects the next token based on its position in the list of probable tokens, whereas "Top p" selects based on the cumulative probability of the Top token.

Answer: C

NEW QUESTION # 68
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 diffusion model that specializes in producing complex outputs.
B. A Large Language Model based agent that focuses on generating textual responses
C. A Retrieval Augmented Generation (RAG) model that uses text as input and output
D. A language model that operates on a token-by-token output basis

Answer: C

NEW QUESTION # 69
......

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Oracle Cloud Infrastructure 2024 Generative AI Professional Sample Questions (Q64-Q69):

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