Fine-tuned models are machine learning models that have been adapted to perform a specific task using a pre-trained model as a starting point. Fine-tuning involves adding a task-specific output layer on top of the pre-trained model and updating the weights of both the output layer and the pre-trained model on task-specific data to improve performance on the target task.