Oracle Cloud Infrastructure 2024 Generative AI Professional - 1z0-1127-24 Free Exam Questions

A. Python's list comprehension syntax

B. Python's lambda functions

C. Python's class and object structures

D. Python's str.format syntax

A. Top p limits token selection based on the sum of their probabilities.

B. Top p determines the maximum number of tokens per response.

C. Top p selects tokens from the "Top k' tokens sorted by probability.

D. Top p assigns penalties to frequently occurring tokens.

A. To retrieve text from an external source and present it without any modifications

B. To generate text based only on the model's internal knowledge without external data

C. To store text in an external database without using it for generation

D. To generate text using extra information obtained from an external data source

A. Because diffusion models can only produce images

B. Because text representation is categorical unlike images

C. Because text is not categorical

D. Because text generation does not require complex models

A. How many predictions the model made correctly out of all the predictions in an evaluation

B. The number of predictions a model makes, regardless of whether they are correct or incorrect

C. The depth of the neural network layers used in the model

D. The proportion of incorrect predictions made by the model during an evaluation

A. 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.

B. Top k and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.

C. Top k and Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.

D. Top K considers the sum of probabilities of the top tokens, whereas Top" selects from the Top k" tokens sorted by probability.

A. Vector Stores

B. LangChain Application

C. LLMs

D. Document Loaders