Zero-shot learning and the foundations of generative AI

Many machine learning models use supervised learning techniques where a neural network or other model is trained using labeled data sets. One-shot and zero-shot learning techniquesTo understand generative AI, start by understanding learning algorithms that don’t rely on labeled data sets. One-shot and zero-shot learning algorithms are example approaches that are the foundation for generative AI techniques. Conceiving next-gen AI solutionsData scientists may try one-shot and zero-shot learning approaches to solve classification problems with unlabeled data sets. Some ways to learn the algorithms and tools include using Amazon SageMaker to build a news-based alert system or using zero-shot learning in conversational agents.