Generative Artificial Intelligence (AI)

Generative Artificial Intelligence (AI)


iO | IORMA Disruptive Technologies Strategy Director

The following article has been researched, authored and created using ChatGPT and the resulting text converted to speech using AI text to speech conversion.
No humans were involved in this technology process.

Generative artificial intelligence (AI) refers to a type of AI that is able to generate new, original content. This can include generating text, images, music, or other types of media.

There are several different approaches to generative AI, including:

  1. Generative models: These are machine learning models that are trained on a large dataset and can then generate new, original content based on the patterns and features they have learned.
  2. Generative adversarial networks (GANs): These are a type of machine learning model that consists of two parts: a generator and a discriminator. The generator is trained to produce new, original content, while the discriminator is trained to distinguish between real and fake content. The two parts are then trained together in an adversarial process, with the generator trying to produce content that the discriminator cannot distinguish from real content.
  3. Evolutionary algorithms: These are algorithms that use a process of natural selection to generate new, original content. They do this by starting with a set of initial “genes” (e.g. a set of musical notes or a set of pixel values for an image), and then using a process of selection, mutation, and reproduction to evolve the content over time.

Generative AI has a wide range of applications, including in art, music, language translation, and data augmentation for machine learning.

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