Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
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.
computer-vision
image-segmentation
The process of partitioning an image into multiple segments to simplify analysis.
Inference
img2img
img2img is a core generative-AI concept used across modeling, product, and governance discussions.
Machine Learning
incremental-learning
A machine learning approach that updates models continuously with new data without retraining from scratch.
Data Management
information-retrieval
The process of obtaining information system resources that are relevant to an information need.
Training
inpainting
inpainting is a core generative-AI concept used across modeling, product, and governance discussions.
Safety
INT4
INT4 is a core generative-AI concept used across modeling, product, and governance discussions.
Product
INT8
INT8 is a core generative-AI concept used across modeling, product, and governance discussions.
Networking
internet-of-things-iot
A network of interconnected devices that communicate and exchange data over the internet.
Data
IVFFlat
IVFFlat is a core generative-AI concept used across modeling, product, and governance discussions.
Product
JSON mode
JSON mode is a core generative-AI concept used across modeling, product, and governance discussions.
Unsupervised Learning
k-means-clustering
An unsupervised learning algorithm used for partitioning data into clusters.
Machine Learning
K-Nearest Neighbors (KNN)
A simple algorithm that classifies data points based on the classes of their nearest neighbors.
Model Optimization
Knowledge Distillation
A process of transferring knowledge from a large model to a smaller model.
Data Representation
Knowledge Graph
A structured representation of knowledge that connects entities and their relationships, typically used in AI for information retrieval.
AI Foundations
Knowledge Representation
The method of encoding information about the world into a format that a computer system can utilize.
Knowledge Representation
knowledge-base
A repository of structured information and facts for inferencing and decision-making.
Safety
KV cache
KV cache is a core generative-AI concept used across modeling, product, and governance discussions.
Data Preparation
Labeling
The process of assigning a specific tag or category to data.
Product
latent space
latent space is a core generative-AI concept used across modeling, product, and governance discussions.
Statistical Models
Latent Variable Model
A statistical model that assumes the existence of unobserved variables that influence observed data.