Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
Statistical Analysis
Causal Inference
A method used to determine cause-and-effect relationships between variables.
Inference
chain-of-thought
chain-of-thought is a core generative-AI concept used across modeling, product, and governance discussions.
Natural Language Processing
chatbot
A chatbot is a software application designed to simulate conversation with human users.
Training
citation
citation is a core generative-AI concept used across modeling, product, and governance discussions.
machine-learning
classification
The task of predicting categorical labels based on input data.
Product
classifier-free guidance
classifier-free guidance is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
CLIP
CLIP is a core generative-AI concept used across modeling, product, and governance discussions.
Computing
cloud computing
Cloud computing is the delivery of computing services over the internet.
Cloud Computing
cloud-native
An approach that enables applications to be designed and built for the cloud environment.
Machine Learning
Clustering
A technique used to group similar items based on their characteristics.
Artificial Intelligence
computer-vision
An interdisciplinary field that enables computers to interpret and process visual information from the world.
Evaluation
Confusion Matrix
A table used to evaluate the performance of a classification algorithm.
Training
content policy
content policy is a core generative-AI concept used across modeling, product, and governance discussions.
Data
context window
context window is a core generative-AI concept used across modeling, product, and governance discussions.
Machine Learning
contextual-bandits
A form of machine learning that balances exploration and exploitation in dynamic environments.
Data
contrastive learning
contrastive learning is a core generative-AI concept used across modeling, product, and governance discussions.
Data
ControlNet
ControlNet is a core generative-AI concept used across modeling, product, and governance discussions.
Neural Networks
Convolutional Neural Network (CNN)
A type of deep learning model primarily used for processing grid-like data such as images.
neural-networks
convolutional-encoder
A neural network component that applies convolutional operations to extract features from input data.
neural-networks
convolutional-layer
A layer in a neural network that applies convolution operations to extract features from input data.
Deep Learning
convolutional-neural-network
A class of deep neural networks primarily used for image processing tasks.
Training
cosine similarity
cosine similarity is a core generative-AI concept used across modeling, product, and governance discussions.
Machine Learning
Cross-Entropy Loss
A loss function commonly used in classification tasks to measure the difference between predicted and actual distributions.
Model Evaluation
Cross-Validation
A technique used to assess the performance of a model on unseen data.