Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
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.