AI Taxonomy

AI terminology, explained

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

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

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

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

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

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

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

GPT-4 โ†ช Currently the most powerful LLM on the market. Proprietary model by OpenAI.

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

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