Concepts
Transformer
A neural-network architecture built around attention and other learned transformations, with information about positions or sequence structure. Variants serve different purposes, including encoding inputs or generating sequences. An architecture label alone does not specify training data, capabilities, context limits or how reliably a model follows instructions.
Reviewed
Sources
Member lesson
The definition and sources are public. The complete practical lesson is for members.