Understanding Generative AI: A Comprehensive Guide
Generative AI creates new content by learning patterns from input data, unlike traditional AI. Key components include neural networks, training data, algorithms, and latent space. Types include Transformers, GANs, VAEs, and Diffusion Models. Applications span text, images, healthcare, and more, with challenges in privacy, bias, and ethics. Future prospects include enhanced capabilities and emerging applications.