Artificial Intelligence
What is Large language model?
A large language model is an AI system trained on vast amounts of text to predict the next word in a sequence. That simple objective lets it write, summarize, translate, answer questions, and hold conversations.
See it, don’t just read it.
Watch a 2-minute lesson with voice + animation that explains large language model.
Key things to understand
- 1LLMs are built on the transformer architecture, which uses 'attention' to weigh how words relate to each other.
- 2They are trained on huge text datasets, then often fine-tuned to be helpful and safe.
- 3They generate text one token at a time, each token predicted from everything before it.
- 4They can 'hallucinate' — produce fluent but incorrect statements — because they predict plausible text, not verified facts.
Frequently asked questions
- How does an LLM actually work?
- It converts text into numbers, runs them through billions of learned parameters, and predicts the most likely next token, repeating to build a response.
- Why do LLMs make mistakes?
- They optimize for plausible-sounding text based on patterns, not truth, so they can state false things confidently. Always verify important facts.
- Are LLMs conscious?
- No. They are statistical pattern predictors with no understanding, beliefs, or awareness.