Verified75% confidenceOpinionExact time
The probability figures provided by guided generative models are essentially 'well-constrained inferences' rather than directly verifiable truths.
3
Sources
75%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
引导式生成模型：精准估算极端事件概率的新方法
Related Claims
UnverifiedThe output of logistic regression is essentially a probability value, and the Naive Bayes classifier is built directly on Bayes' theorem.78% similarUnverifiedCalibration means that the probabilities output by the model should match reality; neural networks generally have an overconfidence tendency, so model probabilities should not be blindly trusted, and thresholds should be set only after validation with labeled data.78% similarUnverifiedWhen large models handle mathematical and logical reasoning, they generate the most probabilistically plausible answer rather than a rigorously verified mathematical proof, and may produce answers that appear reasonable but contain flawed reasoning.78% similarUnverifiedLogistic regression remains the dominant model in high-stakes decision scenarios such as credit scoring and medical risk prediction due to the probabilistic interpretability of its outputs.76% similarUnverifiedThe confidence output of large language models is fundamentally a product of probability distributions rather than a genuine judgment of factual truth or falsehood, and may express high confidence in incorrect statements.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/510574API
curl https://kongchang.com/api/v1/knowledge/claims/510574MCP
get_claim(id=510574)