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Home/Glossary/Annotation
AI Glossary Term

What does “Annotation” mean?

Definition

Human-added labels or metadata used to train or evaluate machine learning models.

Related terms

Ground Truth
Trusted reference labels used to train or evaluate model outputs.
Cross-Entropy Loss
A common objective function used to train classification models by penalizing incorrect probabilities.
Weak Supervision
Using noisy, heuristic, or partial labels to train models when clean labels are scarce.
GSM8K
A benchmark of grade-school math word problems used to evaluate step-by-step reasoning in language models.
AGI (Artificial General Intelligence)
A hypothetical AI system that can perform most intellectual tasks at a human level across many domains.
AI Alignment
The work of making AI systems behave according to human intentions, values, and safety constraints.

See also

Algorithmic TransparencyAPI (Application Programming Interface)Algorithmic BiasArtificial Intelligence (AI)AlgorithmAttention MechanismAI SafetyAutonomous System
PreviousAlgorithmic TransparencyNextAPI (Application Programming Interface)
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