<ul><li>Artificial Intelligence has transformed database generation, introducing methods like synthetic data creation, vector databases, and AI integration.</li><li>Generative Adversarial Networks and Variational Autoencoders are used for synthetic data generation, providing high-fidelity datasets.</li><li>Vector databases store data as vectors, enabling efficient similarity searches and supporting AI functionalities.</li><li>AI-augmented databases automate tasks like query optimization, anomaly detection, and predictive analytics, improving performance and decision-making.</li></ul>

Database Generation

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