The Transformer: How GPT Learns to Pay Attention
In Part 1 , I focused on understanding how a neural network learns. I built neurons, experimented with weights and biases, implemented gradient descent, and worked through backpropagation. I also learned how easily a model can go wrong when gradients or training parameters aren't handled correctly.…
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- 2026-11-12 04:54 · DEV Community — Machine Learning
The Transformer: How GPT Learns to Pay Attention