Results for "model-based"

Using same parameters across different parts of a model.

The range of functions a model can represent.

Allows model to attend to information from different subspaces simultaneously.

Capabilities that appear only beyond certain model sizes.

Empirical laws linking model size, data, compute to performance.

Logged record of model inputs, outputs, and decisions.

Detecting unauthorized model outputs or data leaks.

Probabilistic graphical model for structured prediction.

Graphical model expressing factorization of a probability distribution.

Model that compresses input into latent space and reconstructs it.

Joint vision-language model aligning images and text.

Classical statistical time-series model.

End-to-end process for model training.

Model execution path in production.

Running new model alongside production without user impact.

Shift in model outputs.

Increasing model capacity via compute.

Cost of model training.

Model exploits poorly specified objectives.

Model optimizes objectives misaligned with human values.

Model behaves well during training but not deployment.

Assigning a role or identity to the model.

Asking model to review and improve output.

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.

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

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