Generative artificial intelligence (GenAI) refers to algorithms that can be used to generate fresh content, including audio, images, text, code, simulations, and videos.
GenAI models leverage neural networks to discern patterns and structures within existing datasets. The emergence of Generative Adversarial Networks (GANs), a class of machine learning algorithms introduced in 2014, has significantly contributed to the advancement of generative AI.
Gartner foresees that generative AI will become “a general-purpose technology with an impact similar to that of the steam engine, electricity and the internet”.
Read this blog to explore more about the evolution of generative AI.