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Akshay Ratnawat on Instagram: "90% of candidates answer: “Post-norm is unstable… so we use pre-norm.” Too shallow. It shows you *know the words* but not the reason behind them. Most juniors talk about: - “LayerNorm stabilizes gradients” - “Pre-norm just works better” None of that explains the real failure mode. ⭐ 𝐓𝐡𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Deep Transformers only train because of the residual flow during back-propagation- a clean identity path that gradients use to flow from the top layer back to t
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