Build sinusoidal, RoPE, and ALiBi positional embeddings from scratch in NumPy. Runnable code, heatmaps, and a clear comparison of all three schemes.
Build transformer attention from scratch in NumPy with runnable code. Scaled dot-product, multi-head attention, causal masking, and heatmaps step by step.
Learn how LLMs work step by step. Build an inference simulator in Python — tokenize, embed, compute attention, sample, and decode with runnable code...
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