Generative AI Applications

Generative AI refers to a subset of artificial intelligence (AI) techniques and algorithms that are designed to generate new, original content based on patterns and examples from existing data. Unlike traditional AI systems, which are often used for tasks such as classification, regression, or optimization, generative AI focuses on creativity and the production of novel outputs.

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One of the most popular techniques within generative AI is Generative Adversarial Networks (GANs). GANs consist of two neural networks, the generator and the discriminator, which are trained together in a competitive manner. The generator generates new data samples, such as images, text, or even music, while the discriminator evaluates these samples and tries to distinguish between real and generated data. Through iterative training, both networks improve their performance, leading to the generation of increasingly realistic and high-quality outputs.