Transfer learning is a technique where a model pre-trained on one task is fine-tuned or adapted for a different but related task, reusing the representations it has already learned. It dramatically reduces the data, time, and compute required to build capable AI systems for specialized domains. Transfer learning is central to the success of large pre-trained models like BERT, GPT, and Vision Transformers.
Transfer Learning
Transfer learning is a technique where a model pre-trained on one task is fine-tuned or adapted for a different but related task, reusing the representations it has already learned. It dramatically reduces the data, time, and compute required to build capable AI systems for specialized domains. Transfer learning is central to the success of large pre-trained models like BERT, GPT, and Vision Transformers.