Large Language Model (LLM), explained
A large language model is an AI system trained on huge amounts of text to predict the next word, which lets it write, summarize, and answer in natural language.
A large language model, or LLM, is the technology behind tools like ChatGPT, Claude, and Gemini. At its core it does one thing: predict the next word, over and over, given everything written so far. Trained on an enormous amount of text, that simple mechanism turns into something that can write, summarize, translate, answer questions, and hold a conversation.
The key thing to understand is that it is predicting plausible text, not looking up facts in a database. Its apparent understanding is a side effect of being very good at prediction. That is why it can be fluent and confident and still be wrong, because nothing in the mechanism guarantees the next likely word is the true one.
Treating an LLM as a brilliant, fast intern, rather than an oracle, is the mental model that makes everything else click. It drafts, explains, and brainstorms brilliantly, and you verify anything that matters.
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Wield's AI Foundations track covers this hands-on, in plain English, with real examples and a copy-paste prompt to try it yourself.
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