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• Positional Encoding Explained: How Transformers Learn Word Order (Ep:04.04)August 24, 2026
• The Transformer Block Explained: Multi-Head Attention, Residuals, and Layer Norm (Ep:04.03)August 22, 2026
• Learned Q, K, V Explained: What Makes Attention Actually Trainable (Ep:04.02)August 21, 2026
• How LSTMs Fix the Vanishing Gradient Problem: The Gating Math, Derived and Measured (Ep:04.01)August 12, 2026
• RNNs and the Vanishing Gradient Problem: Why Attention Had to Be Invented (Ep:04.00)August 11, 2026

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