Key Takeaways The article explains various types of generative AI models: Generative Adversarial Networks (GANs): Utilize two competing neural networks to produce realistic synthetic data, excelling in applications such as image synthesis and security testing. Variational Autoencoders (VAEs): Encode and decode data to generate new samples, with applications in anomaly detection and data pattern analysis. […]