2017 CE
Transformer
Artificial intelligence · Machine learning
“Attention Is All You Need” introduces the Transformer architecture, based on self-attention and central to modern language models. It enabled greater parallelization of sequence processing during training and spread to tasks beyond translation.
Precision, calendar, and review
- Start
- year · no uncertainty qualifier in this record
- Calendar and convention
- Historical-era years; the source calendar is not identified. No conversion of days is assumed.
- Year zero
- The scale goes from 1 BCE to 1 CE without year zero. Changing era names changes labels only.
- Documentary review
- 2026-09-20
Reading the date: point event.
Sources
- research.google (opens in a new tab)
Source provenance and scope
- Publication date
- 2017-08-31
- What this date describes
- The cited source or edition; it may postdate the historical event.
- Bibliographic date checked
- 2026-09-23
- Access date
- 2026-09-20
The correspondence between this reference and individual claims has not yet been itemized.
This record is an editorial synthesis. Consult the sources to check claims and their limits. Chronological relationships alone do not establish causation.