Understanding language model optimization
Understanding how generative AI works

Fine tuning involves adjusting a pre-trained model to additional data or data specific to a given task (e.g. text translation or classification).

This method is used to adapt a model to a particular context without having to re-train it entirely. For example, GPT which is initially trained on a large generalist corpus can be refined on a specific dataset to excel in a task such as medical report writing.