AI Taxonomy

AI terminology, explained

Artificial Intelligence (AI) ↪ A broad concept of machines mimicking human intelligence, around since the 1950s.

Narrow AI ↪ AI systems designed to perform a specific task without the ability to generalize beyond that.

Machine Learning (ML) ↪ A technology that learns patterns from data to perform specific tasks. Powers narrow AI.

Deep Learning (DL) ↪ A fancy way of doing ML, typically applied to large, unstructured datasets.

Generative AI (GenAI) ↪ A type of DL that aims to generate new original content from existing data.

Large language models (LLM) ↪ A type of GenAI with the goal to generate text content.

Generative Pre-Trained Transformers (GPT) ↪ A type of LLMs built on the transformer architecture, trained on massive datasets.

GPT-4 ↪ Currently the most powerful LLM on the market. Proprietary model by OpenAI.

ChatGPT ↪ Currently the most popular AI app in the world. Lets you interact easily with GPT-4 via chat;