Results for "failure handling"

Systems where failure causes physical harm.

Agents fail to coordinate optimally.

The set of tokens a model can represent; impacts efficiency, multilinguality, and handling of rare strings.

Information that can identify an individual (directly or indirectly); requires careful handling and compliance.

Applying learned patterns incorrectly.

Protecting data during network transfer and while stored; essential for ML pipelines handling sensitive data.

Architecture based on self-attention and feedforward layers; foundation of modern LLMs and many multimodal models.

Framework for identifying, measuring, and mitigating model risks.

Model-generated content that is fluent but unsupported by evidence or incorrect; mitigated by grounding and verification.

Generator produces limited variety of outputs.

Classifying models by impact level.

Mathematical guarantees of system behavior.

Failure to detect present disease.

Requirement to preserve relevant data.

Requirement to reveal AI usage in legal decisions.