Generative AI (Artificial Intelligence) refers to a subset of AI that involves the use of machine learning algorithms to generate (or create) new content that imitates human-like creativity. This type of AI enables machines to understand, classify, and create content such as images, videos, music, and text in a way that is similar to the way humans do it. Generative AI uses neural networks, which are composed of interconnected layers of algorithms, to analyze and learn from large datasets. The neural network then produces new data that is similar to the original data, but not an exact copy. This can be used in a wide range of applications, such as image and speech recognition, chatbots, and even virtual reality environments. One of the most popular examples of generative AI is the GAN (Generative Adversarial Networks) algorithm, which involves two neural networks: one that generates data and another that evaluates the generated data to determine whether it is real or fake. This iterative process helps refine the generated content until it is virtually indistinguishable from human-made content.
