When a language model generates text, it is repeatedly picking from a ranked set of likely next words. Temperature adjusts how strongly it favours the top choice. Turn it down and the model almost always takes the safest option, which makes answers consistent and repeatable. Turn it up and it will more often reach for a less likely word, which produces variety, surprise and occasionally nonsense.
The right setting depends entirely on the job. Creative writing benefits from higher temperature because unexpected phrasing is the point. Anything factual benefits from lower temperature, because you want the same question to get the same reliable answer whether it is asked on Monday morning or Saturday night. Nobody wants a chat widget that quotes a different delivery timeframe each time it is asked.
This is one of the reasons a business chat widget should not be judged on how conversational it sounds. Clerkzo is built for consistency: answers come from content crawled off your own website, guardrails hold the responses inside that material, and the corrections loop lets you pin down anything that comes out wrong. Variety is a liability when the topic is your prices or your opening hours.
Related terms
Browse all 142 terms- Document Object Model (DOM)The Document Object Model, or DOM, is the structured map a browser builds of your web page after loading it. Code can read and change that map, which is how anything on a page moves, updates or responds to a click.
- Transformer ModelA transformer model is a type of neural network architecture that processes text by weighing how much every part of the input relates to every other part. It is the design underpinning virtually all modern large language models.
- Model DriftModel drift is the gradual decline in an AI system's accuracy that happens when the real world moves away from the conditions it was built for. The model has not changed; the situation around it has.
- Large language model (LLM)A large language model (LLM) is an AI system trained on very large amounts of text to predict the next piece of language in a sequence. That single capability lets it answer questions, summarise documents, write code and hold a conversation.