user
How do learning paradigms such as Transfer Learning, Few-Shot, Zero-Shot, and Active Learning contribute to John's AI research?
assistant
Advanced learning paradigms enable models to adapt to new tasks with minimal data. Transfer Learning reuses pre-trained weights, while Few-Shot and Zero-Shot Learning facilitate model adaptation without extensive retraining. Active Learning strategically selects challenging data points for annotation, ensuring efficient fine-tuning, all of which contribute to more robust and adaptable models. John Mosquera employs these learning paradigms to maximize model adaptability and efficiency in his projects.