Results for "generalization risk"
Quantifying financial risk.
Risk of incorrect financial models.
Risk threatening humanity’s survival.
Existential risk from AI systems.
Training one model on multiple tasks simultaneously to improve generalization through shared structure.
Techniques that discourage overly complex solutions to improve generalization (reduce overfitting).
Number of samples per gradient update; impacts compute efficiency, generalization, and stability.
A high-capacity language model trained on massive corpora, exhibiting broad generalization and emergent behaviors.
Ordering training samples from easier to harder to improve convergence or generalization.
Measures a model’s ability to fit random noise; used to bound generalization error.
A narrow minimum often associated with poorer generalization.
A wide basin often correlated with better generalization.
Built-in assumptions guiding learning efficiency and generalization.
Categorizing AI applications by impact and regulatory risk.
Required human review for high-risk decisions.
Incrementally deploying new models to reduce risk.
European regulation classifying AI systems by risk.
US framework for AI risk governance.
International AI risk standard.
Privacy risk analysis under GDPR-like laws.
Models estimating recidivism risk.
Predicting borrower default risk.
How well a model performs on new data drawn from the same (or similar) distribution as training.
Minimizing average loss on training data; can overfit when data is limited or biased.
Framework for identifying, measuring, and mitigating model risks.
AI used in sensitive domains requiring compliance.
Central log of AI-related risks.
Grouping patients by predicted outcomes.
Maximum expected loss under normal conditions.