What does Model Card mean? Definition | AI Understanding

Definition

Documentation describing a model's intended use, metrics, limitations, and risks.

Related terms

A field focused on reducing harmful behavior, failures, and misuse risks in AI systems.

Algorithmic Transparency

How clearly an AI system's logic, data sources, and limitations are documented and understandable.

Feature Extraction

Converting raw data into informative features that a model can use.

A prompt technique intended to bypass a model's safety constraints.

Stress-testing an AI system with adversarial prompts to reveal failures and risks.

A model's ability to call external tools such as search, calculators, or APIs.

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AI Models Explained Model Collapse Model Lifecycle Model Context Protocol

See also

Mixture of Experts (MoE)Model Drift Memory (Agent Memory)Model Quantization Machine Learning (ML)Multimodal Model Loss Function Named Entity Recognition (NER)

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