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From LLMs to hallucinations, here’s a simple guide to common AI terms
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From LLMs to hallucinations, here’s a simple guide to common AI terms

By Natasha Lomas, Romain Dillet, Kyle Wiggers, Lucas RopekApril 12, 2026·Source: TechCrunch·8 views

As artificial intelligence continues to reshape industries and dominate headlines, many people find themselves navigating a complex landscape of unfamiliar terminology. From boardrooms to dinner tables, AI-related buzzwords are becoming increasingly common, yet their meanings often remain unclear to the general public.

To help bridge that gap, a new glossary has emerged outlining some of the most essential terms and phrases that anyone following the AI conversation should understand. The guide covers a wide range of vocabulary, from foundational technical concepts to newer slang that has developed alongside the rapid growth of the industry.

Among the key terms gaining widespread attention is "LLM," which stands for large language model. These are the powerful AI systems that underpin tools like ChatGPT and Google's Gemini, trained on vast amounts of text data to generate human-like responses and perform a variety of language-based tasks.

Another term that has entered mainstream discourse is "hallucination," which in the AI context refers to instances when an AI system generates information that is factually incorrect or entirely fabricated. This phenomenon has become a significant concern as more people rely on AI tools for research, writing, and decision-making.

The proliferation of such terminology reflects just how quickly the field of artificial intelligence has evolved and expanded into everyday life. What was once the domain of computer scientists and researchers has now become a topic of public debate, government regulation, and consumer technology.

Understanding these terms is increasingly important not just for tech professionals, but for anyone who interacts with AI-powered tools, follows technology news, or participates in conversations about the future of work and society. As AI development accelerates, literacy around its core concepts is becoming a practical necessity rather than a niche interest.

Originally reported by TechCrunch. Read the original article

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