All Basics Agentic AI Models Regulation Technical Business

Beginner Intermediate Advanced

A2A (Agent-to-Agent Protocol) advanced

A protocol developed by Google that enables AI agents to communicate and collaborate with each other. While MCP connects agents to tools, A2A connects agents to other agents — enab...

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AI Agent beginner

A software program powered by AI that can independently perform tasks on behalf of a user. An AI agent receives a goal, breaks it down into steps, executes them using available too...

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AI Governance intermediate

The framework of policies, processes, and structures that organizations use to manage AI responsibly. This includes ethical guidelines, risk management, data governance, bias monit...

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AI Strategy beginner

A plan that defines how an organization will use AI to achieve business goals. A good AI strategy covers: which problems to solve with AI, what data and infrastructure are needed, ...

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AI-Native beginner

An organization, product, or workflow that is designed from the ground up with AI as a core component — not added as an afterthought. AI-native companies treat AI as the foundation...

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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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Agentic AI intermediate

AI systems that can act autonomously to achieve goals. Unlike chatbots that only respond to questions, AI agents can plan multi-step actions, use external tools, make decisions, an...

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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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Bias (in AI) beginner

Systematic errors in AI systems that lead to unfair outcomes for certain groups of people. Bias can come from training data (if the data underrepresents certain groups), from model...

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ChatGPT beginner

An AI chatbot created by OpenAI, launched in November 2022. It popularized large language models and made AI accessible to everyone. ChatGPT can answer questions, write text, gener...

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Claude beginner

An AI assistant built by Anthropic, known for being helpful, harmless, and honest. Claude is designed with a strong focus on safety and can handle very long documents (up to 200,00...

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Cost-per-Wear (in AI context: Cost-per-Inference) intermediate

The cost of running a single AI prediction or generation. Similar to cost-per-wear in fashion (price divided by number of uses), cost-per-inference helps evaluate the real value of...

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Data Sovereignty intermediate

The principle that data is subject to the laws and governance of the country where it is collected or stored. Critical for European companies: using US-based AI services may expose...

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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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EU AI Act beginner

The world's first comprehensive law regulating artificial intelligence, passed by the European Union in 2024. It classifies AI systems into four risk levels (prohibited, high-risk,...

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Explainability (XAI) intermediate

The ability to understand and explain how an AI system reaches its decisions. Required by the EU AI Act for high-risk systems: users must be able to understand why an AI made a spe...

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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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High-Risk AI beginner

AI systems classified under the EU AI Act as potentially harmful to people's rights or safety. Examples: AI in recruiting, credit scoring, healthcare diagnosis, and law enforcement...

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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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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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MCP (Model Context Protocol) advanced

An open protocol developed by Anthropic that standardizes how AI models connect to external data sources and tools. MCP enables AI agents to access databases, APIs, and file system...

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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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Mistral AI beginner

A French AI company founded in 2023 that builds open-weight language models. Mistral is the most prominent European AI lab and offers models that enterprises can run on their own i...

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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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ROI of AI beginner

Return on investment from AI projects. Measured by comparing the costs (tools, data, training, integration) against the benefits (time saved, errors reduced, revenue increased, new...

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Responsible AI beginner

An approach to developing and deploying AI that prioritizes fairness, transparency, accountability, and safety. Responsible AI ensures that systems do not discriminate, that decisi...

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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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