In artificial intelligence, a Model is a mathematical or computational structure learned from data that encodes a mapping from inputs to outputs (or latent representations). Models range from classical machine learning models (linear, tree-based) to deep neural networks, generative models, and large language models, and constitute the core artefact produced by training and consumed during inference.
In Plain Terms
- The trained brain at the heart of an AI system: the pattern it has learned from many examples, which it then applies to turn your input into an answer. The model is the finished product of training and the thing that does the work whenever you use the system.
Semantic Classification
Content
Model — content pending enrichment.