Generative AI refers to a class of artificial intelligence models and algorithms that are designed to generate new content or data. This can include text, images, music, and other forms of media. Generative AI utilizes techniques such as deep learning, particularly neural networks, to learn from existing data and produce novel outputs that mimic the characteristics of the training data. Popular approaches in generative AI include Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformers. These systems have various applications, including content creation, data augmentation, and simulation, and are increasingly used in fields like art, design, writing, and entertainment. The term emphasizes the AI’s capability to autonomously create, rather than simply analyze or process existing information.
Medibank is leading a quiet revolution in corporate Australia, exploring a four-day work week using generative AI. This initiative moved from speculative discussion to experimentation, driven by the success of…