Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Artificial Intelligence
Generative AI
AI systems that can create new content, such as text, images, or music.
Modeling
Generative Model
A generative model learns a data distribution so it can create new samples such as text, images, audio, code, or structured records.
Machine Learning
Generative Modeling
A type of modeling that generates new data instances that resemble the training data.
Deep Learning
generative-adversarial-networks
A class of machine learning frameworks that generate new data samples via adversarial training.
machine-learning
generative-models
Models that can generate new data instances similar to the training data.
Machine Learning
Gradient Boosting
A machine learning technique that builds models in a sequential manner.
Optimization
Gradient Descent
An optimization algorithm used to minimize the loss function in machine learning.
Machine learning
Graph Machine Learning
Graph machine learning applies statistical and neural methods to data represented as nodes, edges, and attributes so models can learn from relationships as well as individual records.
Machine Learning
graph-attention-network
A neural network architecture that employs attention mechanisms to process graph-structured data.
Neural Networks
graph-convolutional-network
A type of neural network designed to process data structured as graphs.
Database Technology
graph-database
A database specifically designed to store and navigate relationships between data points using graph structures.
machine-learning
graph-embedding
A technique for transforming graph-structured data into a continuous vector space while preserving its properties.
machine learning
graph-learning
A branch of machine learning that focuses on learning from graph-structured data.
Deep Learning
graph-neural-network
A neural network designed to work directly with graph-structured data.
machine-learning
graph-neural-networks
A type of neural network designed to process data represented as graphs.
Mathematics
graph-theory
A field of mathematics focused on the study of graphs as mathematical structures.
Statistics
graphical-models
Statistical models that represent variables and their conditional dependencies using a graph.
Model Training
grid-search
A method for hyperparameter optimization that exhaustively searches through a specified subset of hyperparameters.
Product
hallucination
Hallucination is confident generation that is not grounded in the provided context or true facts.
Computer Science
human-computer-interaction-hci
The study and design of how people interact with computers and other technologies.
Modeling
Hyperparameter
A parameter whose value is set before the learning process begins.
Machine Learning
Hyperparameter Tuning
The process of optimizing the parameters that govern the training process of a machine learning model.
Model Training
hyperparameter-optimization
The process of tuning the parameters that control the learning process of a model.
Machine Learning
Hyperparameters
Settings or configurations that govern the training process of a machine learning model.