Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
machine learning
one-shot-learning
A machine learning approach that enables a model to learn information about object categories from a single training example.
Knowledge Representation
ontologies
Formal representations of a set of concepts within a domain and the relationships between those concepts.
Knowledge Representation
ontology
An ontology is a formal representation of a set of concepts within a domain.
Data
open weights
open weights is a core generative-AI concept used across modeling, product, and governance discussions.
machine learning
out-of-distribution-generalization
The ability of a model to perform well on unseen data that is different from the training set.
data-analysis
outlier
An observation point that is distant from other observations in the dataset.
Data Analysis
Outlier Detection
The identification of data points that deviate significantly from the majority of data.
Modeling
Overfitting
A modeling error that occurs when a model learns noise and details from the training data.