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A support team is building a generative AI model to classify customer support tickets into different categories (e.g., Billing Issue, Technical Support, Feature Request). They have a dataset of past tickets with their correct categories and need to train the AI model for this task. What prompting technique should they use?
Correct Answer: C
Few-shot prompting involves providing the model with a small set of labeled input-output examples directly inside the prompt to guide its reasoning and format consistency. Because the team possesses a historical dataset of categorized tickets across multiple distinct classes, providing several representative examples enables the model to accurately recognize the classification schema without requiring parameter fine-tuning.
