Discover our AI Glossary, designed to help you understand the key terms and concepts of artificial intelligence. Whether you’re a beginner or a professional, find clear and precise definitions to enrich your knowledge and navigate this exciting field.
AI promises to revolutionize everything from art to education, but a dark side is emerging: AI Slop. This term, which evokes a shapeless and unappetizing mush, describes a tidal wave of AI-generated content polluting the… Read More »AI Slop: What Is It? Definition and Examples of This Phenomenon
Over the past few months, two terms have frequently emerged in the world of AI: “AI Agent” and “Agentic AI“. Although these concepts seem similar at first glance, they represent distinct approaches in the design… Read More »AI Agent vs. Agentic AI: What’s the Difference?
World models (or models of the world) represent one of the most promising directions in current artificial intelligence research. They aim to equip AI systems with a rich and dynamic internal representation of the environment,… Read More »World Model in AI: History, Definition, and Explanation
Judea Pearl is an iconic figure in computer science and artificial intelligence, whose work has transformed how we understand cause-and-effect relationships in science. Born in Tel Aviv in 1936, in what was then Mandatory Palestine,… Read More »Judea Pearl: Portrait of an AI and Causality Genius
Marvin Lee Minsky, often called the “father of artificial intelligence“, made history in computer science through his visionary ideas and inventions that continue to influence the technological world today. Born on August 9, 1927, in… Read More »Marvin Minsky: Biography of One of the Founding Fathers of Artificial Intelligence
The Backbone (literally the spine or dorsal network) is the most critical architectural component of Deep Learning systems, acting as the feature extraction engine for the entire model. Its role is to analyze raw input… Read More »AI Backbone: Foundation of Neural Networks and Key to Transfer Learning
In AI, training digital giants like GPT is expensive in terms of time and resources. That’s where LoRA comes in, a clever technique that allows you to adapt these models without completely rebuilding them. To… Read More »LoRA in AI: Definition and Explanation of Low-Rank Adaptation
The perceptron is one of the historic models of artificial intelligence. Invented in the late 1950s, it laid the foundations for everything we use today in neural networks and deep learning. It’s a simple but… Read More »Perceptron in AI: definition, how it works, and its role in neural networks
Imitation learning is an artificial intelligence method where a model learns to reproduce the behavior of a human or an expert by observing examples. The idea is simple: instead of explaining to the AI what… Read More »What is Imitation Learning in AI?
For the past ten years, artificial intelligence has been dominated by LLMs. GPT-5, Gemini, Claude: models with hundreds of billions of parameters, trained on oceans of data, capable of writing a novel or coding an… Read More »TRM: What are Tiny Recursive Models in AI?
