What does a higher number assigned to a token signify in the "Show Likelihoods" feature of the language model token generation?
C. Translation models D. Embedding models Explanation: Comprehensive and Detailed In -Depth Explanation= OCI Generative AI typically offers pretrained models for summarization (A), generation (B), and embeddings (D), aligning with common generative tasks. Translation models (C) are less emphasized in generative AI services, often handled by specialized NLP platforms, making C the NOT category. While possible, translation isn’t a core OCI generative focus based on standard offerings. : OCI 2025 Generative AI documentation likely lists model categories under pretrained options. How are fine-tuned customer models stored to enable strong data privacy and security in the OCI Generative AI service?
Comprehensive and Detailed In -Depth Explanation= Embeddings in NLP are dense, numerical vectors that represent words, phrases, or sentences in a way that captures their semantic meaning and relationships (e.g., "king" and "queen" being close in vector space). This enables models to process text mathematically, making Option C correct. Option A is false, as embeddings simplify processing, not increase complexity. Option B relates to translation, not embeddings’ primary purpose. Option D is incorrect, as embeddings aren’t primarily for compression but for representation. : OCI 2025 Generative AI documentation likely covers embeddings under data preprocessing or vector databases. What is the main advantage of using few-shot model prompting to customize a Large Language Model (LLM)?
Comprehensive and Detailed In -Depth Explanation= “Top p” (nucleus sampling) selects tokens whose cumulative probability exceeds a threshold (p), limiting the pool to the smallest set meeting this sum, enhancing diversity —Option C is correct. Option A confuses it with “Top k.” Option B (penalties) is unrelated. Option D (max tokens) is a different parameter. Top p balances randomness and coherence. : OCI 2025 Generative AI documentation likely explains “Top p” under sampling methods. Given the following code: chain = prompt | llm Which statement is true about LangChain Expression Language (LCEL)?
type—image handling typically requires custom or multimodal extensions, not a built-in memory class —making A correct as NOT included. : OCI 2025 Generative AI documentation likely lists memory types under LangChain memory management. What is the primary function of the "temperature" parameter in the OCI Generative AI Generation models?
Which role does a "model endpoint" serve in the inference workflow of the OCI Generative AI service?
