Learn in the textbookTransfer of Learning and Representative Deep Learning Models
DefinitionFine-tuning (ファインチューニング) means giving a pre-trained model additional training on data suited to the target task so that it is adjusted for that use.
ExplanationInstead of rebuilding the model from the start, it keeps the features already learned and shifts parameters such as the weights toward the goal. As a result, it tends to need less data and less computing time than training from scratch. One use is to have a language model trained on general text learn a hospital's consultation records so that its answers handle medical terms well.
AnalogyIt is like a new employee with a solid grounding from school learning, through a short training period, the way their assigned department does its work.
Memory hook"Fine" means precise, and "tuning" is what you do to a musical instrument. The name likens it to the last careful adjustment of a finished instrument's pitch.