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Home/Glossary/Weak Supervision
AI Glossary Term

What does “Weak Supervision” mean?

Definition

Using noisy, heuristic, or partial labels to train models when clean labels are scarce.

Related terms

Annotation
Human-added labels or metadata used to train or evaluate machine learning models.
Ground Truth
Trusted reference labels used to train or evaluate model outputs.
Benchmark Leakage
When benchmark test examples or close variants are present in training data, inflating reported performance.
AI Agent
A software system that can observe, reason, and take actions to achieve a goal, often using tools and memory.
Algorithmic Transparency
How clearly an AI system's logic, data sources, and limitations are documented and understandable.
Attention Mechanism
A model component that dynamically focuses on relevant parts of an input when producing an output.

Learn more in our free guides

BYOL and Non-Contrastive Self-SupervisionProcess Supervision for Math Reasoning

See also

Vision-Language Model (VLM)WeightVector DatabaseWord EmbeddingValidation SetXAI (Explainable AI)Unsupervised LearningZero-Shot Learning
PreviousVision-Language Model (VLM)NextWeight
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