Which technique involves training a model on a large dataset and then fine-tuning it on a smaller, task-specific dataset?

Transfer Learning

Transfer learning leverages knowledge gained from one problem to solve a different but related problem. It is highly effective in deep learning, where pre-trained models on ImageNet or Wikipedia are adapted for niche tasks.