The Transformer: The Architecture Behind Modern AI
"Attention Is All You Need." -- Vaswani, 2017 The Path So Far We started with a single neuron drawing a line. Added hidden layers to bend it. Taught the network to learn its own weights. Scaled training with mini-batches and Adam. Fought overfitting with dropout. Built filters for images. Gave networks memory for sequences. Replaced compression with attention. Each architecture solved a problem the previous one couldn't. Each carried forward what worked and discarded what didn't....
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