Generative AI uses machine learning algorithms to analyze a dataset and create new content that resembles the original dataset. This is typically done using a generative model, such as a generative adversarial network (GAN), which involves two neural networks (a generator and a discriminator) working together to create and evaluate content.

Once the system has been trained on a dataset, it can be used to create new content by feeding it input and using the generator to create output that matches that input.

As a leading generative AI development company, we leverage cutting-edge machine learning algorithms to unlock the creative potential hidden within datasets.