Glossary
A transformer is a neural-network architecture built around attention, and it is the design underneath most current language and multimodal models.
Updated 21 Aug 2026
The architecture is rarely what decides whether a system works for you. Retrieval quality, document handling and permissions almost always matter more, and architecture talk tends to arrive when those are the weaker story.
Ask for a worked example on your own material, and the evidence needed to reproduce it.
We use “Transformer” only where a product mechanism or an evaluation method backs it up, and we say when the behaviour depends on how a deployment is configured.
Pick a real piece of work, agree what a good answer looks like, then go through the results together.