All Basics Agentic AI Models Regulation Technical Business

Beginner Intermediate Advanced

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...

›

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...

›

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...

›

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...

›

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...

›

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...

›

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...

›

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...

›

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...

›

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 ...

›

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...

›