Large language models — or LLMs — are the technology powering some of the most transformative AI tools of our time, from ChatGPT to Claude to Gemini. But how do they actually work? At their core, LLMs are trained on massive amounts of text data, learning to predict and generate language by identifying patterns across billions of words. The result is a system that can write, reason, summarize, translate, and converse in ways that feel remarkably human — but the mechanics behind it are fascinating and worth understanding.
In this explainer, we break down exactly what a large language model is, how it's trained, what makes it so powerful, and where its limitations lie. Whether you're a curious beginner or someone who uses AI tools every day, understanding LLMs is one of the most important pieces of tech literacy you can have in 2026.
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