1Z0-1127-25 무료 덤프문제 온라인 액세스

Which is a cost-related benefit of using vector databases with Large Language Models (LLMs)?

• A.They offer real-time updated knowledge bases and are cheaper than fine-tuned LLMs.
• B.They are more expensive but provide higher quality data.
• C.They require frequent manual updates, which increase operational costs.
• D.They increase the cost due to the need for real-time updates.

Which is a distinguishing feature of "Parameter-Efficient Fine-Tuning (PEFT)" as opposed to classic "Fine-tuning" in Large Language Model training?

• A.PEFT does not modify any parameters but uses soft prompting with unlabeled data.
• B.PEFT modifies all parameters and is typically used when no training data exists.
• C.PEFT involves only a few or new parameters and uses labeled, task-specific data.
• D.PEFT modifies all parameters and uses unlabeled, task-agnostic data.

What is LangChain?

• A.A JavaScript library for natural language processing
• B.A Java library for text summarization
• C.A Python library for building applications with Large Language Models
• D.A Ruby library for text generation

What does in-context learning in Large Language Models involve?

• A.Training the model using reinforcement learning
• B.Conditioning the model with task-specific instructions or demonstrations
• C.Adding more layers to the model
• D.Pretraining the model on a specific domain

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

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