LLM Application Development
Beginner
4.5
Temperature and Sampling Settings
Control how random or focused a model’s output is.
0h 15m
1 lesson
1.2K students
What You'll Learn
Learning objectives will be added soon.
Tutorial Content
What temperature does
Temperature scales randomness. Low (0–0.3) makes output focused and deterministic; high (0.8–1.2) makes it creative and varied.
Rules of thumb
- Factual, structured, code → low temperature.
- Brainstorming, creative writing → higher temperature.
Other knobs
- top_p (nucleus sampling) — an alternative to temperature; tune one, not both.
- max_tokens — cap the response length.
- stop — sequences that end generation.
client.chat.completions.create(model="gpt-4o-mini",
messages=msgs, temperature=0.2, max_tokens=300)Your Progress
Sign in to track your progress
Tags
LLM
API