Why Temperature 0 Isn't Deterministic
Explains critical implementation details affecting model consistency that developers need to understand for production systems.
AI Summary
LLMs at 0 aren't deterministic due to floating-point arithmetic non-associativity and batch-invariant kernels, causing selection to vary based on server load.
Excerpt
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.
