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.
Retrieval
Embedding
An embedding is a dense vector that represents text, code, or media so similar items land near each other for search and clustering.
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
Ensemble learning combines several models so the group prediction is more stable than any single model.
AI Safety and Governance
Explainability
Explainability describes how clearly people can understand why an AI system produced a particular output or decision.
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.