What are Large Language Models (LLMs) in simple words

🕑 3 min · LearnAI

✓ 14 days free✓ Then $14.99/mo — all courses

Behind AI assistants are large language models - LLMs. Understanding how they work helps you use them smarter and avoid falling for their mistakes. Let's explain without complicated terms.

How the language model works

LLM is trained on a huge amount of text to predict the next word. From this simple principle comes the ability to answer, write and reason. The model does not “understand” like a person - it finds a plausible continuation based on learned patterns.

Why the model is sure to be wrong

Because the model generates plausibility rather than testing truth, it can make up a fact, a reference, or a figure—and sound confident while doing so. This is called a hallucination. Therefore, always check important facts.

👉 Don't just read - try it in class. Start 14 days free.

Tokens, temperature, knowledge frontier

The model works with tokens (pieces of text) - the cost and limits depend on this. Temperature controls creativity: lower is more stable, higher is more varied. And the model has a knowledge boundary - a date after which it does not know about the world; fresh requires an external source.

🎯 Will AI replace YOUR profession? Take a short test and see how ready you are for the future.Take the free test →⭐ Want every lesson and the full course? Unlock Pro access.

What does this give in practice?

Knowing this, you use the model smarter: you clearly set the task, check the facts, understand when you need to search for fresh data, and are not surprised by errors. Understanding the tool makes the difference between those who benefit from those who are disappointed.

🎁 Get 49 ready-made AI prompts for free

For work, money, career, and study — just paste and use.

Get the prompt pack

Frequently asked questions

What is LLM in simple words?

LLM (Large Language Model) is a neural network trained on a huge amount of text that predicts the next word and thus generates a coherent answer. It runs AI assistants like chatbots. Understanding the principle helps you use them smarter.

Why does a language model reliably get it wrong?

She does not “know” the facts, but predicts a plausible continuation of the text, so she can confidently give out a fiction (this is called a hallucination). Plus, the model has a knowledge boundary - data up to a certain date. Important facts should always be double-checked.

What are tokens and temperature in the language model?

Tokens are pieces of text (words or parts of words) that the model operates with instead of letters. Temperature — setting the “boldness” of the response: lower – more accurate and predictable, higher – more creative and varied. Both concepts help to fine-tune the result.

Practice in class

What is a Language Model (LLM) →AI Model Ecosystem →AI Bias →

Other guides

AI agents in simple words: what they are and what they are capable of →How to start working with AI from scratch: a step-by-step path →Professions in AI: who you can become and how to get there →Prompt engineering: what is it and where to start for a beginner →AI for business: where to start implementing and not blow your budget →7 mistakes newbies make when working with AI and how to avoid them →

Full access to all courses

Start for free Plans & subscription View course program