Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Machine Learning
distributed-learning
A machine learning paradigm where the training data is distributed across multiple devices or nodes.
Modeling
Overfitting
A modeling error that occurs when a model learns noise and details from the training data.
Model Evaluation
Variance
Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.