Developers Turn LLM Logprobs into Probabilistic Decision Outputs

Developers show how to emulate jev-style "System One" decisions using off-the-shelf LLMs by reading token logprobs, converting them via softmax into normalized probability scores over predefined options.

2026-09-19 ~ 2026-09-19 · 2 related posts

• Why logits can simulate a jev-style classifier, explained — michellechen · 2026-09-19
• Turning an LLM into a probabilistic decision classifier with logprobs — michellechen · 2026-09-19