Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Deep Learning
Generative Adversarial Network
A class of machine learning frameworks where two neural networks contest with each other to create new data instances.
Neural Networks
Generative Adversarial Network (GAN)
A type of neural network architecture that consists of two competing networks, a generator and a discriminator.
Artificial Intelligence
Generative AI
AI systems that can create new content, such as text, images, or music.
Modeling
Generative Model
A model that generates new data points from learned distributions.
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.
Data
GGUF
GGUF is a core generative-AI concept used across modeling, product, and governance discussions.
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-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.
machine learning
graph-machine-learning
A branch of machine learning that focuses on learning from data represented as graphs.
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.
Data
grounding
grounding is a core generative-AI concept used across modeling, product, and governance discussions.
Product
GSM8K
GSM8K is a core generative-AI concept used across modeling, product, and governance discussions.
Data
guardrails
guardrails is a core generative-AI concept used across modeling, product, and governance discussions.