# 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;

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