Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
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.
Security
cybersecurity
The practice of protecting systems and networks from digital attacks.
Data Processing
Data Annotation
The process of labeling data for training machine learning models.
Data Preparation
Data Cleaning
The process of identifying and correcting errors or inconsistencies in data to improve its quality.
Product
data contamination
data contamination is a core generative-AI concept used across modeling, product, and governance discussions.
Model Maintenance
Data Drift
Changes in data distribution that can impact model performance over time.
Data Management
Data Governance
Frameworks and policies for managing data integrity and usage.