Unverified50% confidenceFactExact time
The decision head is an additional output layer outside the model backbone, typically receiving the feature vector extracted by the backbone and outputting a judgment result or score.
1
Sources
50%
Confidence
Long-term
Relevance
10/13/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedThe output of a judgment-type decision model is a closed, structured result, which is essentially a classification or regression task involving a single forward pass, with no autoregressive iteration overhead.77% similarVerifiedThe output of a decision model is often a label or probability distribution over a finite action set, similar to a policy network in reinforcement learning, whereas generative models require autoregressive sampling over a large vocabulary.77% similarUnverifiedA Decision Model returns a probability or classification result for content rather than outputting long passages of text, and its structured output can be used directly in if statements in code.74% similarVerifiedDecision models focus on answering yes/no judgments, multiple-choice questions, and probability-scored rating-type problems.72% 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.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1014182API
curl https://kongchang.com/api/v1/knowledge/claims/1014182MCP
get_claim(id=1014182)