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12 glossary terms
AI and computer science define the language of modern machine intelligence. The terms here cover the algorithms that power large language models, the data structures that let software scale, and the concepts researchers argue about when they debate what AI can and cannot do. You will find foundational ideas such as hallucinations and prompt engineering alongside technical specifics like tensor operations or benchmark evaluation. Because the field moves quickly, some definitions describe stable classical theory and others describe ideas only a few years old. Together they offer a stable vocabulary for a domain still finding its shape.
Machine learning algorithms are mathematical procedures that enable computers to identify patterns in data and improve without explicit programming. Learn the three main types and how they work.
AI hallucination is when a language model generates plausible but false content. Learn why it happens, why it can't be eliminated, and how to detect it.
