LLM stands for Large Language Model. It is a kind of AI that is really, really good with words.
It learns by reading an enormous amount of text: books, web pages, stories, and more. From all that reading, it learns patterns in how words fit together.
When you ask it something, it does not look up an answer. It predicts the most likely next word, then the next, building the answer one piece at a time.
That is why an LLM can explain things, write stories, summarize long text, and answer questions.
But because it is predicting, it can be confidently wrong. It needs good information and careful questions, and important answers should be checked.
Think of an LLM as a super-helpful word-predictor: amazing at language, but still a tool that humans should double-check.
What to remember
- An LLM is an AI that is great with words.
- It learns patterns by reading huge amounts of text.
- It builds answers by predicting one word at a time.
- It can sound sure and still be wrong, so check it.
Words to know
- LLM
- Large Language Model: a word-predicting AI.
- Pattern
- How words tend to go together, learned from text.
- Predict
- To guess the most likely next word.
- Prompt
- The question or instruction you give the AI.
For grown-ups
An LLM is a neural network trained on vast text to model the probability of the next token given prior context. Scale plus training yields fluent, broad capability, but it optimizes for plausibility, not truth, hence hallucination. Grounding (RAG), good prompts, and verification improve reliability.
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