1.1. Introduction
Generative artificial intelligence (GAI) is a branch of artificial intelligence (AI) based on the development of data models that are capable of generating new content. Unlike other AI methods that are limited to analysing existing data or solving specific problems, GAI is capable of imagining, creating, and producing information, images, text and other forms of content.
GAI relies on neural networks, which can learn complex patterns and features from training datasets, using the learned information to generate new outputs that resemble the original data and are consistent with it.
The GAI tool GPT-3.5 (generative pre-trained transformer 3.5) developed by the company OpenAI took the world by storm in late 2022. These models are able to understand and generate natural language in surprisingly coherent and diverse ways.
But it wasn’t the first AI to be created, nor is it the only type of AI out there.