https://wiki.alt-text.eu/index.php?action=history&feed=atom&title=Transformer_%28AI_architecture%29Transformer (AI architecture) - Revision history2026-09-15T06:10:45ZRevision history for this page on the wikiMediaWiki 1.45.3https://wiki.alt-text.eu/index.php?title=Transformer_(AI_architecture)&diff=79&oldid=previmported>ALT-TEXT: Import: AI terminology and people glossary2026-09-07T10:36:21Z<p>Import: AI terminology and people glossary</p>
<p><b>New page</b></p><div>== Transformer (AI architecture) ==<br />
The neural network design, introduced by Google researchers in 2017, that underlies almost all modern [[Large language model (LLM)|large language models]]. Transformers use a mechanism called "attention" to weigh the relevance of different words in a text relative to one another, allowing the model to process long passages of language efficiently. (See also: [[Large language model (LLM)|Large language model]], [[Neural network]])<br />
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[[Category:Glossary]]<br />
[[Category:Artificial Intelligence]]<br />
[[Category:Machine Learning]]<br />
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