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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
API (Application Programming Interface)
beginner
A standardized way for software systems to communicate with each other. AI APIs allow developers to add AI capabilities to their applications without building models from scratch. ...
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Inference
intermediate
The process of using a trained AI model to make predictions or generate outputs. Training teaches the model; inference is when it applies what it learned. When you ask ChatGPT a qu...
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Token
intermediate
The basic unit that language models process. A token is roughly a word or word fragment. "Artificial intelligence" is two tokens. AI model pricing and context limits are measured i...
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Training Data
beginner
The data used to teach an AI model. The quality, quantity, and diversity of training data directly determine how well the model performs. For language models, this means billions o...
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Transformer
advanced
The neural network architecture behind all modern large language models. Introduced by Google in 2017, the transformer uses "attention mechanisms" to understand relationships betwe...
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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
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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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