Results for "exposure analysis"

A broader capability to infer internal system state from telemetry, crucial for AI services and agents.

Reducing numeric precision of weights/activations to speed inference and reduce memory with acceptable accuracy loss.

Reconstructing a model or its capabilities via API queries or leaked artifacts.

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

Updating beliefs about parameters using observed evidence and prior distributions.

The shape of the loss function over parameter space.

Formal framework for sequential decision-making under uncertainty.

Models evaluating and improving their own outputs.

Framework for identifying, measuring, and mitigating model risks.

Neural networks that operate on graph-structured data by propagating information along edges.

Compromising AI systems via libraries, models, or datasets.

Probabilistic model for sequential data with latent states.

Transformer applied to image patches.

Combining signals from multiple modalities.

Generating human-like speech from text.

Aligns transcripts with audio timestamps.

Identifying speakers in audio.

Temporal and pitch characteristics of speech.

Predicting future values from past observations.

Classical statistical time-series model.

Identifying abrupt changes in data generation.

Formal model linking causal mechanisms and variables.

Average value under a distribution.

Measure of spread around the mean.

Choosing step size along gradient direction.

Alternative formulation providing bounds.

Process for managing AI failures.

System returns to equilibrium after disturbance.

Study of motion without considering forces.

Motion of solid objects under forces.