Unverified50% confidenceFactExact time
The way Decision-1 is used is to give it a fixed set of candidate options, and it returns calibrated probability values for each option in a single inference pass.
1
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50%
Confidence
Long-term
Relevance
10/10/2026
First Seen
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Related Claims
UnverifiedDecision models focus on answering yes/no judgments, multiple-choice questions, and probability-scored rating-type problems.79% similarUnverifiedWity-1 is a "reasoning decision model" whose strategy is to reason only to the point of sufficiency, stopping when the LLM's internal probability distribution indicates that an answer has been reached.72% similarUnverifiedPointwise transforms the ranking problem into a regression or classification problem of independently scoring each candidate, which is simple to implement but ignores the relative ordering relationships between candidates.72% similarUnverifiedGenerative decision models must process the current context together with all candidate options on every call, with the computational load increasing as the number of options grows.71% similarUnverifiedDecisions API is a System 1 type model that does not follow the Next Token Prediction approach, but instead directly predicts the probabilities of various possible outcomes.71% similar
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