Concept graph
Generative AI and LLM glossary
Clear AI definitions with practical context, examples, and links to related models, tools, and concepts.
Data Science
synthetic-data-generation
The process of creating artificial data that mimics real-world data for training machine learning models.
Models
Time-series foundation model
A time-series foundation model is pretrained on many series so it can forecast new series with little or no task-specific training.
Model Evaluation
Variance
Variance measures a model's sensitivity to fluctuations in the training data, contributing to overfitting when high.
Machine Learning
Zero-shot Learning
A machine learning approach where the model predicts classes that it has not seen during training.