How to Decode the Temperature Parameter in LLMs
Large Language Models How to Decode the Temperature Parameter in LLMs How statistical physics explains the transition from deterministic predictions to generative AI. Spyros Georgopoulos Jul 30, 2026 11 min read Share Bridging the gap: connecting classical statistical mechanics to the probabilistic nature of modern AI. The Physics: Energy, Probability, and Temperature Imagine a physical system that can exist in several different states.
- ▪Large Language Models How to Decode the Temperature Parameter in LLMs How statistical physics explains the transition from deterministic predictions to generative AI.
- ▪Spyros Georgopoulos Jul 30, 2026 11 min read Share Bridging the gap: connecting classical statistical mechanics to the probabilistic nature of modern AI.
- ▪The Physics: Energy, Probability, and Temperature Imagine a physical system that can exist in several different states.
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| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/decoding-the-temperature-parameter-in-llms/ |
| Publication time | Thu, 30 Jul 2026 12:00:00 +0000 |
| Retrieval time | 2026-07-30T12:09:30.641Z |
| Last seen | 2026-07-30T12:09:30.641Z |
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Large Language Models How to Decode the Temperature Parameter in LLMs How statistical physics explains the transition from deterministic predictions to generative AI. Spyros Georgopoulos Jul 30, 2026 11 min read Share Bridging the gap: connecting classical statistical mechanics to the probabilistic nature of modern AI. The Physics: Energy, Probability, and Temperature Imagine a physical system that can exist in several different states. Each state has an associated energy. Some states are cheap, requiring very little energy, while others are expensive. One fundamental question statistical physics asks is deceptively simple: Given all these possible states, how likely is the system to occupy each one? At first, it might seem tempting to use the energies themselves as probabilities.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.