Free Oracle 1Z0-1127-25 Exam Dumps Questions & Answers

Which is a distinctive feature of GPUs in Dedicated AI Clusters used for generative AI tasks?

• A.  The GPUs allocated for a customer's generative AI tasks are isolated from other GPUs.
• B.  GPUs are used exclusively for storing large datasets, not for computation.
• C.  GPUs are shared with other customers to maximize resource utilization.
• D.  Each customer's GPUs are connected via a public Internet network for ease of access.

Which statement describes the difference between "Top k" and "Top p" in selecting the next token in the OCI Generative AI Generation models?

• A.  "Top k" and "Top p" both select from the same set of tokens but use different methods to prioritize them based on frequency.
• 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" considers the sum of probabilities of the top tokens, whereas "Top p" 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 tokens.

What does a cosine distance of 0 indicate about the relationship between two embeddings?

• A.  They are similar in direction
• B.  They have the same magnitude
• C.  They are completely dissimilar
• D.  They are unrelated

Given the following code:
chain = prompt | llm
Which statement is true about LangChain Expression Language (LCEL)?

• A.  LCEL is an older Python library for building Large Language Models.
• B.  LCEL is a declarative and preferred way to compose chains together.
• C.  LCEL is a programming language used to write documentation for LangChain.
• D.  LCEL is a legacy method for creating chains in LangChain.

When is fine-tuning an appropriate method for customizing a Large Language Model (LLM)?

• A.  When you want to optimize the model without any instructions
• B.  When the LLM does not perform well on a task and the data for prompt engineering is too large
• C.  When the LLM already understands the topics necessary for text generation
• D.  When the LLM requires access to the latest data for generating outputs