Comprehensive and Detailed In -Depth Explanation= Semantic search uses embeddings and NLP to understand the meaning, intent, and context behind a query, rather than just matching exact keywords (as in traditional search). This enables more relevant results, even if exact terms aren’t present, making Option C correct. Options A and B describe traditional keyword search mechanics. Option D is unrelated, as metadata like date or author isn’t the primary focus of semantic search. Semantic search leverages vector representations for deeper understanding. : OCI 2025 Generative AI documentation likely contrasts semantic and keyword search under search or retrieval sections. What does the Ranker do in a text generation system?
Option C relates to the model’s architecture, not prompts. Option D pertains to memory systems, not prompts directly. Prompts are key for effective interaction. : OCI 2025 Generative AI documentation likely covers prompts under chatbot design or inference sections. What is LCEL in the context of LangChain Chains?
management features. How are chains traditionally created in LangChain?
How does the temperature setting in a decoding algorithm influence the probability distribution over the vocabulary?
An LLM emits intermediate reasoning steps as part of its responses. Which of the following techniques is being utilized?
➢ TOTAL QUESTIONS: 168 What is the role of temperature in the decoding process of a Large Language Model (LLM)?
