Generative AI is a set of algorithms that can generate new data such as text or images from the training data.
Generative AI models learn from existing data and then use that knowledge to generate novel outputs.
Generative AI was introduced in 1960 in chatbots.
Some popular generative AI models include Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs).
ChatGPT and DALL-E and the two most popular products which use Generative AI in the models to generate content.
Generative AI can simulate and generate different scenarios or variations of existing data
Generative AI can push the boundaries of creativity and inspire new ideas
Generative AI can automate tasks that would otherwise be time-consuming and labor-intensive.
However the Generative AI can be biased if the data it was trained on is biased.