What is generative AI and why should you care?

 

Generative AI refers to unsupervised and semi-supervised machine learning algorithms that enable computers to use existing content like text, audio and video files, images, and even code to create new possible content. The main idea is to generate completely original artifacts that would look like the real deal.

As for now, there are two most widely used generative AI models as mentioned below

• Generative Adversarial Networks or GANs — technologies that can create visual and multimedia artifacts from both imagery and textual input data.
• Transformer-based models — technologies such as Generative Pre-Trained (GPT) language models that can use information gathered on the Internet to create textual content from website articles to press releases to whitepapers.

Generative AI has a wide range of applications, including:

Images: Generative AI can create new images based on existing ones, such as creating a new portrait based on a person’s face or a new landscape based on existing scenery.

Text: Generative AI can be used to write news articles, poetry, and even scripts. It can also be used to translate text from one language to another.

Audio: Generative AI can generate new music tracks, sound effects, and even voice acting

Some of the Examples of Generative AI Technology are as below

• ChatGPT - Text Generation AI
• MidJourney - Image Generation AI