Causal Masking That Prevents a Token Attending to Its Future

without the triangular mask next-token prediction is trivially solvable and no generation is learned at all

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Building Absolute Positional Encodings and Causal Self-Attention in PyTorch for Transformers

The core principle establishes that static embedding matrices lack sequential context, necessitating **Absolute Positional Encodings** to uniquely identify token indices and allow for their element-w…