최신 1Z0-1127-25 무료덤프 - Oracle Cloud Infrastructure 2025 Generative AI Professional

A. Dot Product assesses the overall similarity in content, whereas Cosine Distance measures topical relevance.

B. Dot Product is used for semantic analysis, whereas Cosine Distance is used for syntactic comparisons.

C. Dot Product measures the magnitude and direction of vectors, whereas Cosine Distance focuses on the orientation regardless of magnitude.

D. Dot Product calculates the literal overlap of words, whereas Cosine Distance evaluates the stylistic similarity.

A. To retrieve relevant information from knowledge bases

B. To train Large Language Models

C. To combine multiple components into a single pipeline

D. To break down complex tasks into smaller steps

A. A Retrieval Augmented Generation (RAG) model that uses text as input and output

B. A diffusion model that specializes in producing complex outputs.

C. A Large Language Model-based agent that focuses on generating textual responses

D. A language model that operates on a token-by-token output basis

A. Python's class and object structures

B. Python's str.format syntax

C. Python's lambda functions

D. Python's list comprehension syntax

A. Increased model interpretability

B. Reduced model complexity

C. Faster training time and lower cost

D. Enhanced generalization to unseen data

A. To generate human-like text using the information retrieved and ranked, along with the user's original query

B. To store the generated responses for future use

C. To rank the information based on its relevance to the user's query

D. To collect user queries and convert them into database search terms

A. By incorporating additional layers to the base model

B. By restricting updates to only a specific group of transformer layers

C. By allowing updates across all layers of the model

D. By excluding transformer layers from the fine-tuning process entirely

A. Aligning code readability

B. Evaluating factual accuracy of outputs

C. Measuring coherence of generated text

D. Detecting bias or toxicity

A. Declaratively, with no coding required

B. By using machine learning algorithms

C. Exclusively through third-party software integrations

D. Using Python classes, such as LLMChain and others