Temperature

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What is Temperature?

Temperature is a parameter used in language models that controls the randomness of the generated text. A higher temperature value (e.g., 1.0) leads to more diverse and unpredictable outputs, as the model is more likely to sample less probable words. Conversely, a lower temperature value (e.g., 0.2) yields more deterministic, conservative outputs, favoring the most likely words according to the model's training data. Essentially, it influences the probability distribution from which the next word is selected.

Free resources to learn Temperature

More in stage 3: Prompt Engineering

Temperature: common questions

Can I learn Temperature in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Temperature in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Temperature tutorial for beginners?

It is lesson 23 of 189 in the free AI Engineer roadmap, in stage 3, Prompt Engineering. If you are new to AI Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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