How Generative AI Works?

What is Generative AI?

Generative Artificial Intelligence, or Generative AI, is a class of computer algorithms able to create digital content – including text, images, video, music and computer code. They work by deriving patterns from large sets of training data that become encoded into predictive mathematical models, a process commonly referred to as ‘learning’. Generative AI models do not keep a copy of the data they were trained on, but rather generate novel content entirely from the patterns they encode. People can then use interfaces like ChatGPT or MidJourney to input prompts – typically instructions in plain language – to make generative AI models produce new content.

As the development of practical and high-quality generative AI emerges, it can become a helpful tool for our everyday work and has the potential for diverse applications such as art, writing, and software development.

The core of a generative AI is a trained deep-learning model that understands and generates text, image, or other media in a human-like fashion based on a given user input, i.e. prompt. This model is trained on massive amounts of data to learn from patterns in the data. For example, it would learn that certain words tend to follow others, or that certain phrases are more common in certain contexts. The model uses the prompt to produce a completion, which is then presented back to users 

How Generative AI Works?

The video below provides a simple explanation of the mechanism of large language models, key application of generative AI.