Glossary
Noul question
A noul question is a yes/no check: Laya returns the probability that a statement about your text is true, such as 'the customer asks for a refund'.
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Definition
What Noul question means
A noul question is Laya's binary primitive, inherited from the Jev protocol: ask whether a statement holds for the state and get back a probability. "Noul" is Jev's name for this type; think of it as a calibrated boolean.
Shape
criteria is optional. If present it is a dict with true and/or false descriptions:
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Internally it is always rendered as two option markers, false: … then true: …, with defaults "no, the statement does not hold" and "yes, the statement holds".
The answer is noul (the probability of true, 0 to 1), confidence = max(p, 1 − p) (never below 0.5), and an action block. Threshold on noul directly: flag at 0.5 for balanced costs, lower for recall-critical checks such as threats, higher when false positives are expensive.
Known issue: label following
The model card documents that noul can follow its option labels rather than the state, most strongly on the English checkpoint: the "false:"/"true:" pair can dominate and return a confident "no" for clearly positive input (issue #156). Check noul answers on your own data. If they look stuck, ask the same thing as a two-option choice question with neutral keys:
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On the fine-tuned typed-decisions benchmark, noul is the strongest primitive (0.857). See choice, score and noul.
Related terms
How Noul question connects to the rest of the vocabulary.
Go deeper
- ExplainerChoice, score and noul: three primitives for typed decisionsChoice picks a label, score places text on a scale, noul gives the probability a statement is true. How each works in Laya, when to use it and where it is weak.
- Use caseContent moderation with calibrated, typed decisionsModerate posts for toxicity, harassment, threats and spam in one call. Calibrated probabilities decide what is removed, sent to review or published.
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Try it on your own text
Send any text with your own typed questions and get a calibrated probability for every answer. 6k free tokens, no card needed; then $0.0357 per 1M input tokens — 15% below Jev.
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