Transfer Learning in Generative AI:

Transfer learning in generative AI is a powerful technique that allows pre-trained models to adapt to new tasks with minimal training data. It leverages knowledge learned from existing datasets, saving time.

Pre-trained models offer a head start, requiring less data and training time to achieve comparable performance on new tasks.

Transfer learning empowers generative AI to adapt to new tasks efficiently, leveraging pre-trained models and knowledge from vast data.