Results for "data → model"

Model trained on its own outputs degrades quality.

Model relies on irrelevant signals.

Governance of model changes.

Control that remains stable under model uncertainty.

High-fidelity virtual model of a physical system.

Human or automated process of assigning targets; quality, consistency, and guidelines matter heavily.

Shift in feature distribution over time.

Privacy risk analysis under GDPR-like laws.

A parameterized mapping from inputs to outputs; includes architecture + learned parameters.

Generates sequences one token at a time, conditioning on past tokens.

Predicts masked tokens in a sequence, enabling bidirectional context; often used for embeddings rather than generation.

Policies and practices for approving, monitoring, auditing, and documenting models in production.

Models that process or generate multiple modalities, enabling vision-language tasks, speech, video understanding, etc.

Central catalog of deployed and experimental models.

Models that define an energy landscape rather than explicit probabilities.

Learns the score (∇ log p(x)) for generative sampling.

Exact likelihood generative models using invertible transforms.

Maps audio signals to linguistic units.

Models time evolution via hidden states.

Models whose weights are publicly available.

Models accessible only via service APIs.

Classifying models by impact level.

Coordinating models, tools, and logic.

Mathematical representation of friction forces.

RL using learned or known environment models.

Predicts next state given current state and action.

Predicting disease progression or survival.

Requirement to reveal AI usage in legal decisions.

Quantifying financial risk.

Risk of incorrect financial models.