A large language model, or LLM, is an AI system trained on very large collections of text so that it can predict and generate language. It is the technology behind many modern chatbots, writing assistants and coding helpers.
How an LLM works
During training, the model reads huge amounts of text and learns which words and phrases tend to follow others. When you type a prompt, it uses those learned patterns to produce the most useful continuation, one piece of text at a time.
What LLMs are good at
- Drafting and rewriting text in different tones
- Summarising long documents
- Explaining concepts in simple language
- Helping with code, formulas and outlines
Where LLMs fall short
Because they generate likely text instead of retrieving verified facts, LLMs can state things that are wrong, outdated or invented. They can also reflect biases in their training data. For anything important — medical, legal, financial or news facts — check a primary source.
How to get better results
- Be specific about the goal and audience.
- Provide the source material you want used.
- Ask for the answer in a format you can check, such as a short list.
- Review and edit the result yourself.
Conclusion
LLMs are powerful assistants when used with human judgement. Learn what they do well, verify what matters, and keep a person in charge of the final result. For more practical tips, see our how-to guides.