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AI Encyclopedia

Glossary & encyclopedia of AI & automation terms

The artificial intelligence glossary: clear definitions, concrete examples and related terms. 20 terms.

A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
A
Agents

AI Agent

An AI agent is a system able to grasp a goal, reason and then act autonomously by using tools.
Technical

API

An API is an interface that lets two pieces of software communicate and exchange data in a standardised way.
C
Applications

Chatbot

A chatbot is a conversational program that talks with a user in natural language, in writing or by voice.
D
Technical

Deep learning

Deep learning is a branch of machine learning based on neural networks with several layers.
E
Technical

Embedding

An embedding is a numerical representation of a text or an object as a vector, capturing its meaning.
F
Technical

Fine-tuning

Fine-tuning involves re-training an existing model on specific data to adapt it to a precise use.
G
Fundamentals

Generative AI

Generative AI refers to models able to create original content: text, image, audio, code or video.
Fundamentals

GPT

GPT refers to a family of large language models based on the Transformer architecture, trained to predict the next word.
Applications

GEO

GEO aims to optimise your visibility in the responses of generative engines such as ChatGPT or Perplexity.
H
Concepts

Hallucination

A hallucination is an AI response that is plausible but factually wrong, produced with confidence by the model.
L
Fundamentals

LLM

An LLM is a large language model trained on huge volumes of text to understand and generate natural language.
M
Fundamentals

Machine learning

Machine learning lets a program learn from data rather than being explicitly programmed.
Technical

MCP

MCP is an open protocol that standardises the connection of AI models to external tools and data sources.
N
Technical

NLP

NLP is the field of AI that deals with the understanding and generation of human language by machines.
P
Fundamentals

Prompt

A prompt is the instruction or question given to an AI model to steer the response it will generate.
Applications

Prompt engineering

Prompt engineering is the discipline of designing effective prompts to obtain reliable responses from an AI.
R
Technical

RAG

RAG combines a language model with a document search to ground its responses in your data.
T
Technical

Token

A token is the basic unit a language model handles: a fragment of a word, a word or a sign.
Technical

Transformer

The Transformer is the neural-network architecture behind modern large language models.
V
Technical

Vectorisation

Vectorisation turns data such as text into numerical vectors that models can work with.

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