AI Glossary

The terms of artificial intelligence, plainly defined

AI fundamentals

Artificial intelligence (AI)Algorithm Data Dataset Model (AI)Machine learning Deep learning Neural network Supervised learning Unsupervised learning Reinforcement learning Classification Regression Prediction Training Inference Parameters Hyperparameters Bias (AI)

Data & retrieval

RAG (Retrieval-Augmented Generation)Vector database Reranking Embedding Semantic search Knowledge base Chunking GraphRAG (knowledge graph)

Agents & orchestration

AI agent Agentic AI Voice agent Agent orchestration MCP (Model Context Protocol)A2A (Agent-to-Agent)Agent SDK Multi-agent system Harness (agent)Chatbot Voicebot Automation Workflow Callbot AI copilot Function calling (tool use)

Language, voice & vision

Natural language NLP (Natural Language Processing)Speech recognition (STT)Speech synthesis (TTS)Computer vision Multimodality AI avatar Voice cloning OCR and IDP (intelligent document processing)

Infrastructure & deployment

API Cloud On Premise On Device Open source GPU

Sovereignty & security

Sovereign cloud Sovereign AI Shadow AI Prompt injection Sandbox SecNumCloud

Ethics & compliance

Frugal AI Responsible AI Explainability Traceability Guardrails GDPR AI Act Human-in-the-loop (human oversight)Anonymisation and pseudonymisation Deepfake Slop (AI)Workslop

Methods & visibility

GEO (Generative Engine Optimization)Low-code / No-code POC (proof of concept)

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