Results for "data preservation"

Models time evolution via hidden states.

Monte Carlo method for state estimation.

Repeating temporal patterns.

Low-latency prediction per request.

Increasing model capacity via compute.

Using production outcomes to improve models.

Models accessible only via service APIs.

Set of vectors closed under addition and scalar multiplication.

Vector whose direction remains unchanged under linear transformation.

Measures similarity and projection between vectors.

Sensitivity of a function to input perturbations.

Describes likelihoods of random variable outcomes.

Measure of spread around the mean.

Normalized covariance.

Eliminating variables by integrating over them.

Optimization under uncertainty.

Model behaves well during training but not deployment.

Using limited human feedback to guide large models.

Multiple examples included in prompt.

Prompt augmented with retrieved documents.

Loss of old knowledge when learning new tasks.

Model relies on irrelevant signals.

European regulation classifying AI systems by risk.

AI used in sensitive domains requiring compliance.

Required descriptions of model behavior and limits.

Requirement to inform users about AI use.

Ability to inspect and verify AI decisions.

Classifying models by impact level.

Requirement to provide explanations.

Process for managing AI failures.