Unveiling the Powerhouses: Transfer Learning vs. Transformers

Transfer learning and transformers are powerful deep learning techniques used in NLP. Transfer learning allows a neural network to learn from one task and apply it to another, while transformers are designed specifically for NLP tasks and can capture long-range dependencies in data. The choice between the two depends on specific needs and priorities.