# Transformer Models **Domain:** Machine Learning / Natural Language Processing **Doc Type:** Model Class **Maturity:** Developed **Related:** [[Attention Mechanism]], [[Self-Attention]], [[Large Language Models]], [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]] ## Definition Transformer models use attention-based layers to learn contextual representations of sequences without relying primarily on recurrence. ## Bauhaus Architects Context They are part of a documented machine-learning lineage through neural alignment and self-attention, not through Prague structuralism. ## Backlinks - [[wiki/Bauhaus Architects of AI|Bauhaus Architects of AI]] - [[articles/Bauhaus Architects of AI|Bauhaus Architects of AI]]