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AI Glossary
Over 35 terms from the world of artificial intelligence — explained clearly, for beginners and experts.
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Basics
Agentic AI
Models
Regulation
Technical
Business
Beginner
Intermediate
Advanced
Artificial Intelligence (AI)
beginner
The ability of computer systems to perform tasks that normally require human intelligence — such as understanding language, recognizing images, making decisions, and learning from ...
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Deep Learning
intermediate
A type of machine learning that uses artificial neural networks with many layers (hence "deep"). It excels at complex tasks like image recognition, speech understanding, and langua...
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Fine-Tuning
intermediate
The process of further training an existing AI model on specialized data to improve its performance for a specific task or domain. Instead of training from scratch (which costs mil...
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Generative AI
beginner
AI that creates new content — text, images, music, video, or code. Unlike traditional AI that analyzes or classifies, generative AI produces something new. ChatGPT generates text, ...
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Hallucination
beginner
When an AI generates information that sounds plausible but is factually incorrect. LLMs do not "know" facts — they predict likely word sequences. This can lead to confident-soundin...
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Large Language Model (LLM)
beginner
An AI model trained on massive amounts of text data that can understand and generate human language. Examples include GPT-4, Claude, Mistral, and Gemini. LLMs power chatbots, writi...
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Machine Learning
beginner
A subset of AI where systems learn patterns from data instead of being explicitly programmed. Instead of writing rules like "if X then Y", you feed the system thousands of examples...
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Neural Network
intermediate
A computing system inspired by the human brain. It consists of interconnected nodes (neurons) organized in layers. Data flows through these layers, and the network learns by adjust...
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Open-Source AI
beginner
AI models whose code and weights are publicly available for anyone to use, modify, and deploy. Examples include Meta's LLaMA, Mistral's models, and many models on Hugging Face. Ope...
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Prompt
beginner
The instruction or question you give to an AI system. The quality of the prompt determines the quality of the output. A good prompt is specific, provides context, and clearly descr...
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Prompt Engineering
beginner
The art and science of writing effective instructions for AI systems. Good prompt engineering can dramatically improve AI output quality without changing the underlying model. Tech...
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RAG (Retrieval-Augmented Generation)
intermediate
A technique that combines AI text generation with real-time information retrieval. Instead of relying only on what the model learned during training, RAG searches a knowledge base ...
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Learning Paths
Beginner
Understanding AI
The basics: What is AI, what are LLMs, how do prompts work? From novice to informed conversation partner in 30 minutes.
1. AI
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2. ML
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3. LLM
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4. Prompt
→
5. Gen AI
Intermediate
AI in Practice
Agentic AI, RAG, fine-tuning — the technologies that turn AI from a toy into a business tool. For decision-makers who want more than ChatGPT.
1. Agentic
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2. RAG
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3. Fine-Tuning
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4. Agents
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5. AI-Native
Advanced
Regulation & Governance
EU AI Act, bias testing, explainability — everything you need for compliant AI. Deadline August 2026.
1. AI Act
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2. High-Risk
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3. Bias
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4. XAI
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5. Governance
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