The evolution of generative AI began in the 1970s with computer scientists developing models that could learn patterns in data and generate something new.
In the 2010s, deep learning and Generative Adversarial Networks (GANs) emerged, allowing machines to generate photo-realistic images, videos, and more.
Language models like GPT took generative AI to a new level, enabling machines to understand and continue thoughts, write articles, create poetry, and hold conversations.
Generative AI can help startups innovate, enhance customer experiences, and scale faster by leveraging AI to create new content, streamline operations, and optimize decision-making.