Transformers Architecture: How Google’s ‘Attention Is All You Need’ Changed Deep Learning Forever

Author(s): TechWiz

Originally published on Towards AI.

When Machines Learned to Pay Attention

In the last decade, artificial intelligence has undergone a remarkable transformation.
But in 2017, something extraordinary happened, a single paper from Google Brain, titled “Attention Is All You Need,” quietly rewrote the future of deep learning.

The article elaborates on the transformative impact of the “Attention Is All You Need” paper by Google Brain on deep learning, explaining how the Transformer architecture it introduced has become foundational for numerous AI models, enhancing their ability to understand context and greatly advancing fields like natural language processing. It discusses the mechanics of the Transformer, including tokenization, embedding, positional encoding, and multi-head attention, and concludes by describing the broader implications of this advancement for AI technologies and their novel capabilities.

Read the full blog for free on Medium.

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Published via Towards AI