A team has a large collection of domain-specific unlabeled text and wants a supported pretrained model to learn more of that domain language through additional training. Which term best describes this approach?

1. Few-shot prompting.
2. Continued pre-training.
3. Increasing temperature during inference.
4. Vector similarity retrieval alone.