How are prompt templates typically designed for language models?
A.
As complex algorithms that require manual compilation
B.
As predefined recipes that guide the generation of language model prompts
C.
To be used without any modification or customization
D.
To work only with numerical data instead of textual content
The Answer Is:
B
This question includes an explanation.
Explanation:
Comprehensive and Detailed In-Depth Explanation:
Prompt templates are predefined, reusable structures (e.g., with placeholders for variables) that guide LLM prompt creation, streamlining consistent input formatting. This makes Option B correct. Option A is false, as templates aren’t complex algorithms but simple frameworks. Option C is incorrect, as templates are customizable. Option D is wrong, as they handle text, not just numbers.Templates enhance efficiency in prompt engineering.
OCI 2025 Generative AI documentation likely covers prompt templates under prompt engineering or LangChain tools.
Here is the next batch of 10 questions (21–30) from your list, formatted as requested with detailed explanations. The answers are based on widely accepted principles in generative AI and Large Language Models (LLMs), aligned with what is likely reflected in the Oracle Cloud Infrastructure (OCI) 2025 Generative AI documentation. Typographical errors have been corrected for clarity.
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