Transfer-Learning

• Zero-Shot Learning

  Model performs task without explicit training examples; relies on pre-training and task description in natural language.

• Fine-Tuning

  Adapting a pre-trained model to a downstream task by training on task-specific data; standard approach in modern NLP.

• Few-Shot Learning

  Model generalises from small number of prompt examples without explicit retraining; enabled by scale in large language models.