Tagged articles

Attention Is All You Need

2 articles · Page 1 of 1

Jul 13, 2026 · Artificial Intelligence

What Is the Transformer Architecture Behind Modern AI Large Models?

The article explains that the Transformer, introduced by Google in the 2017 "Attention Is All You Need" paper, replaces RNN/CNN with self‑attention, enabling full parallel computation, solving sequential bottlenecks and long‑range dependency issues that power today’s large AI models.

AIAttention Is All You NeedGPT

0 likes · 3 min read

What Is the Transformer Architecture Behind Modern AI Large Models?

Code Archaeology

Oct 10, 2025 · Artificial Intelligence

Transformer Explained: Self-Attention, Positional Encoding & Encoder-Decoder Code

This article explains the Transformer architecture from "Attention Is All You Need", covering self-attention, multi-head attention, layer normalization, positional encoding, and the encoder-decoder structure with PyTorch code, showing how Transformers enable parallel sequence processing without recurrence.

Attention Is All You NeedEncoder-DecoderLayer Normalization

0 likes · 10 min read

Transformer Explained: Self-Attention, Positional Encoding & Encoder-Decoder Code