What does “Transfer Learning” mean?

Methods that transfer a model trained in one domain to perform better in another domain.

A structured way for one software system to send requests to and receive responses from another system.

A task where a model assigns an input to one or more predefined categories.

Continuing training on domain-specific data to adapt a pre-trained model to a specific task.

Fine-tuning a model on instruction-response pairs to improve task following.

Solving tasks without task-specific examples by relying on prior general knowledge.