What does the temperature setting do in AI models?
Temperature controls how much randomness the model uses when picking each next word. Lower values make output more predictable and focused. Higher values make it more varied and creative.
Typical use:
- Low: data extraction, classification, code, factual summaries.
- Higher: brainstorming, fiction, marketing ideas.
It is usually available through APIs and some developer tools, not always in consumer chat apps. Ranges and defaults differ between providers, and some newer models or reasoning modes limit or ignore it, so read the current docs.
Remember that low temperature does not guarantee accuracy or identical results. It only narrows variety. Prompt quality and giving the model the right information matter more.
Related answers
Are AI-written phishing emails harder to spot, and what should I look for now?
Yes, AI can write clean, convincing phishing emails without the spelling mistakes people used to rely on, so judge the request and the sender, not the grammar.
privacy-safety
Can AI analyze my Excel or CSV data and can I trust the results?
Often yes, especially with assistants that can run code on uploaded files, but you should verify the results.
accuracy
Can an AI assistant be tricked by hidden instructions in emails or web pages?
Yes. If an assistant reads emails, web pages or documents, hidden text in them can try to give it new instructions, which is called prompt injection.
privacy-safety