Generative AI stands apart from traditional AI technologies by its inherent ability to generate new data or content that resembles a given dataset. While conventional AI models like classifiers or recommenders focus on sorting or selecting from existing data, generative models like LLMs (Large Language Models), or GANs (Generative Adversarial Networks) have the capability to create novel outputs, such as text, images, or even complex patterns. This unique characteristic opens up a realm of possibilities that are beyond the scope of traditional AI algorithms.
Its applications span multiple sectors, including marketing, R&D, healthcare, and finance, offering opportunities for significant operational enhancements and opening new avenues for business growth.
