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What is the main advantage of using few-shot model prompting to customize a Large Language Model (LLM)?
Correct Answer: C
Comprehensive and Detailed In-Depth Explanation= Few-shot prompting involves providing a few examples in the prompt to guide the LLM's behavior, leveraging its in-context learning ability without requiring retraining or additional computational resources. This makes Option C correct. Option A is false, as few-shot prompting doesn't expand the dataset. Option B overstates the case, as inference still requires resources. Option D is incorrect, as latency isn't significantly affected by few-shot prompting. OCI 2025 Generative AI documentation likely highlights few-shot prompting in sections on efficient customization.