A model whose weights are publicly downloadable, runnable on your own infrastructure. Not the same as fully open source: training data and code may still be closed.
Definition: A model whose weights are publicly downloadable, runnable on your own infrastructure. Not the same as fully open source: training data and code may still be closed.
A model whose weights are publicly downloadable, so you can run it on your own infrastructure. Not the same as fully open source (training data and training code may still be closed). For research with sensitive participant data, open-weight models are the cleanest privacy story: nothing leaves your machines.
A general-purpose model trained on a broad corpus, used as the base layer for downstream products. Most consumer AI features are a foundational model with a UI wrapper.
A trained system that maps input to output through learned patterns. In research practice usually a large language model, but the term also covers image, audio, and multi-modal systems.
An AI system trained on vast amounts of text to predict and generate human-like language. Best understood as a concept-transformation engine rather than a knowledge database.