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Home
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Glossary
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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-Supervision
Process Supervision for Math Reasoning
See also
Vision-Language Model (VLM)
Weight
Vector Database
Word Embedding
Validation Set
XAI (Explainable AI)
Unsupervised Learning
Zero-Shot Learning
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