What Is Ai Transfer Learning And How Does It Work?

Transfer learning is a powerful tool for training AI models for natural language processing (NLP) and computer vision. It involves taking a pre-trained model and training it on a custom dataset to work on tasks it wasn’t necessarily trained to tackle. This works since the pre-trained model can identify the various traits of the original dataset, such as having four legs, fur coats, and prominent snouts, and the new model can inherit those traits. Pre-trained models such as BERT and GPT models are suitable for transfer learning.