Online Access Free 1z0-1127-24 Exam Questions

Which is NOT a built-in memory type in LangChain?

• A.Conversation ImgeMemory
• B.Conversation Summary Memory
• C.Conversation Token Buffer Memory
• D.Conversation Buffer Memory

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

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

What is LangChain?

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

Which Oracle Accelerated Data Science (ADS) class can be used to deploy a Large Language Model (LLM) application to OCI Data Science model deployment?

• A.Chain Deployment
• B.RetrievalQA
• C.GenerativeAI
• D.Text Leader

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 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 considers the sum of probabilities of the top tokens, whereas Top" selects from the Top k" tokens sorted by probability.
• 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 and "Top p" are identical in their approach to token selection but differ in their application of penalties to tokens.