Oracle 1z0-1127-25 Exam With Confidence Using Practice Dumps

Comprehensive and Detailed In-Depth Explanation:

A presence penalty in LLMs (including OCI’s service) reduces the probability of tokens that have already appeared in the output, applying the penalty each time they reoccur after their first use. This discourages repetition, making Option D correct. Option A is false, as penalties depend on prior appearance, not uniform application. Option B is the opposite—penalizing unused tokens isn’t the goal. Option C is incorrect, as the penalty isn’t threshold-based (e.g., more than twice) but applied per reoccurrence. This enhances output diversity.

OCI 2025 Generative AI documentation likely details presence penalty under generation parameters.

Comprehensive and Detailed In-Depth Explanation:

LangChain is a Python library designed to simplify building applications with LLMs by providing tools for chaining operations, managing memory, and integrating external data (e.g., via RAG). This makes Option B correct. Options A, C, and D are incorrect, as LangChain is neither JavaScript, Java, nor Ruby-based, nor limited to summarization or generation alone—it’s broader in scope. It’s widely used for LLM-powered apps.

OCI 2025 Generative AI documentation likely introduces LangChain under supported frameworks.

Comprehensive and Detailed In-Depth Explanation:

The RAG (Retrieval-Augmented Generation) Sequence model retrieves a set of relevant documents for a query from an external knowledge base (e.g., via a vector database) and uses them collectively with the LLM to generate a cohesive, informed response. This leverages multiple sources for better context, making Option B correct. Option A describes a simpler approach (e.g., RAG Token), not Sequence. Option C is incorrect—RAG considers the full query. Option D is false—query modification isn’t standard in RAG Sequence. This method enhances response quality with diverse inputs.

OCI 2025 Generative AI documentation likely details RAG Sequence under retrieval-augmented techniques.