Transformers — The Architecture That Changed AI (Part 1 of 3)
1Key Takeaways
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- In June 2017, a team at Google published a paper with a deceptively simple title: "Attention Is All You Need." Eight authors, fourteen pages, and one architecture that would go on to power GPT-4, Claude, Gemini, DALL-E, Stable Diffusion, AlphaFold, and virtually every breakthrough in AI since.
- The Transformer didn't just improve on existing models.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that cross-posted here with a canonical link.
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