Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
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.
Models and Deployment
Open Weights
Open weights are downloadable model parameters that teams can inspect, run, fine-tune, or redistribute only to the extent permitted by the model's license.
Security
OpenAI Daybreak
OpenAI Daybreak is a vetted access program that gives authorized cybersecurity defenders controlled use of frontier models—and, in Daybreak Red, purpose-trained cyber models such as GPT-5.6-Cyber.
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.