A team wants a model to classify short messages using company-specific labels. It adds several labeled input-output examples to the prompt but does not update the model weights. Which technique is this?

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  1. Zero-shot prompting.
  2. Few-shot prompting.
  3. Continued pre-training.
  4. Fine-tuning.

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