How has generative AI developed over the years?

Generative AI has made significant advancements over the years, paving the way for unprecedented capabilities in creating and understanding different forms of content. The early stages of generative AI focused primarily on rule-based models that produced limited and predictable outcomes. However, with the emergence of deep learning techniques and neural networks, generative AI has progressed exponentially. GANs (Generative Adversarial Networks) have played a pivotal role in this development, enabling the generation of realistic images, music, and even text. Additionally, the integration of natural language processing has further enhanced generative AI, allowing for more coherent and context-aware content generation. These advancements have opened up new frontiers in diverse fields such as art, design, music, and storytelling, pushing the boundaries of creativity and innovation.

This mind map was published on 29 November 2023 and has been viewed 91 times.