What are generative AI models, and how do they work?

[dinastafi]

Generative AI models are types of artificial intelligence designed to create new content based on learned patterns from existing data. Unlike discriminative models, which classify data into categories, generative models focus on understanding the underlying distribution of the data. They utilize techniques like deep learning and neural networks, particularly generative adversarial networks (GANs) and variational autoencoders (VAEs). In a GAN, two neural networks—a generator and a discriminator—compete against each other, where the generator creates new data samples while the discriminator evaluates them. This adversarial process continues until the generator produces data indistinguishable from real data. By analyzing vast amounts of training data, generative models can create realistic images, text, audio, or even videos, making them a cornerstone of many AI applications today.
source: https://www.blockchainappfactory.com/ai-development-company