Results for "temporal data"

Encodes token position explicitly, often via sinusoids.

Categorizing AI applications by impact and regulatory risk.

Models trained to decide when to call tools.

Logged record of model inputs, outputs, and decisions.

Compromising AI systems via libraries, models, or datasets.

Graphs containing multiple node or edge types with different semantics.

Extension of convolution to graph domains using adjacency structure.

Controls amount of noise added at each diffusion step.

Combining signals from multiple modalities.

Simultaneous Localization and Mapping for robotics.

Models time evolution via hidden states.

Monte Carlo method for state estimation.

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.