Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Computing
edge computing
Edge computing is a computing paradigm that brings computation and data storage closer to the location of the data source.
Product
embedding
An embedding maps text or media into a dense vector so similarity and retrieval can be computed geometrically.
Probabilistic Models
energy-based-model
A probabilistic model that associates a scalar energy value with each configuration of variables to model distributions.
Learning Techniques
Ensemble Learning
A technique that combines multiple models to improve overall performance.
Machine Learning
Ensemble Method
A technique that combines multiple models to improve performance.
Modeling Techniques
ensemble-methods
Techniques that combine multiple models to improve overall performance.
AI Safety and Governance
Explainability
Explainability describes how clearly people can understand why an AI system produced a particular output or decision.
AI Ethics
Explainable AI
A branch of artificial intelligence focused on making the decision-making processes of models understandable to humans.
robotics
explainable-robotics
A field of study focused on making robotic systems understandable and transparent to users.
Data Analysis
exploratory-data-analysis
An approach to analyzing data sets to summarize their main characteristics.