--- id: "2017-06-12-transformer" url: "https://postcutoff.com/e/2017-06-12-transformer/" as_of: "2026-11-13T13:49:00+01:00" date: "2017-06-12" date_precision: day category: research importance: 5 confidence: high status: [Confirmed] sources: 3 editor: human editor human_review: null version: "2026-10-04" --- As of: 2026-11-13 13:49 CET. Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/ Canonical page: https://postcutoff.com/e/2017-06-12-transformer/ # 'Attention Is All You Need' introduces the Transformer Vaswani et al. proposed the Transformer, an architecture built entirely on self-attention without recurrence; it became the foundation of BERT, GPT and virtually every modern large AI model. ## Key facts - arXiv 1706.03762, posted 12 June 2017; NeurIPS 2017 - Eight co-authors from Google Brain/Research - WMT 2014 English–German: 28.4 BLEU, a new state of the art - Highly parallelizable training vs. RNNs, enabling scale - The 'T' in GPT stands for Transformer ## What happened The paper introduced multi-head self-attention, positional encodings and an encoder–decoder stack, beating recurrent models on translation while training much faster. ## Why it matters Arguably the most consequential AI paper of the century so far: the Transformer's scalability made LLMs, multimodal models and AlphaFold 2 possible. ## Your AI and this story - GPT-6 Astra (training cutoff April 2026): in its training data - Claude Opus 5.5 (training cutoff June 2026): in its training data - Gemini 4 Hydrogen (training cutoff March 2026): in its training data - Grok 4.7 (training cutoff May 2026): in its training data ## Sources 1. [Attention Is All You Need (arXiv)](https://arxiv.org/abs/1706.03762) (arxiv.org, paper) 2. [Google Research blog: Transformer](https://research.google/blog/transformer-a-novel-neural-network-architecture-for-language-understanding/) (research.google, official) 3. [Wikipedia: Attention Is All You Need](https://en.wikipedia.org/wiki/Attention_Is_All_You_Need) (en.wikipedia.org, discussion) ## Changes - 2026-09-29 (filed): Created ## Related - 2018-10-11: [Google releases BERT, bidirectional Transformer pre-training](https://postcutoff.com/e/2018-10-11-bert/index.md) - 2018-06-11: [OpenAI's GPT-1: generative pre-training of Transformers](https://postcutoff.com/e/2018-06-11-gpt-1/index.md) - 2014-09-10: [Sequence-to-sequence learning and neural attention](https://postcutoff.com/e/2014-09-10-seq2seq-attention/index.md)