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Why Temperature 0 Isn't Deterministic

Towards Data Science published an analysis explaining that large language models set to temperature 0 are not deterministic, because the top token can flip and identical completions diverge after roughly 100 tokens. The piece offers a one-line formula for how often an LLM's top token flips.

read1 min views1 publishedOct 10, 2026
Why Temperature 0 Isn't Deterministic
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A one-line formula for how often an LLM's top token flips, and why identical completions fall apart after about a hundred tokens The post Why Temperature 0 Isn't Deterministic appeared first on Towards Data Science.

Key Takeaways #

  • •A one-line formula for how often an LLM's top token flips, and why identical completions fall apart after about a hundred tokens The post Why Temperature 0 Isn't Deterministic appeared first on Towards Data Science.
  • •This story was reported by Towards Data Science , covering developments in thenewsletter space.
  • •AI advancements continue to reshape industries — read the full article on Towards Data Science for complete coverage.

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