What is generative AI?

Generative AI refers to a type of artificial intelligence that can create new content. This includes generating text, images, music, and more. Generative AI models learn the patterns and structures in the training data, and can use this knowledge to generate new, similar content.

How does generative AI work?

Generative AI works by training a model on a dataset and learning the underlying distribution of the data. Once the model is trained, it can generate new data that follows the same distribution. This is typically done using techniques like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), or autoregressive models.

Generative AI can be used to create a wide range of content, from realistic images to coherent text.

What are the applications and limitations of generative AI?

Generative AI has many applications, including content creation, data augmentation, and simulation. However, it also has limitations. The quality of the generated content can vary, and the models can be computationally expensive to train. Furthermore, generative AI can be used to create misleading or harmful content, such as deepfakes, raising ethical and legal issues.