transformer

A transformer is an architecture built from attention layers; most frontier LLMs are decoder-only or encoder–decoder transformers.

transformer shows up constantly when teams ship LLM features. Practically, it influences how you design prompts, evaluate quality, and reason about failure modes. Teams should document how transformer manifests in their stack—data handling, evaluation, and runtime guardrails—and revisit assumptions as models update.