No 8 GPUs needed: six hands-on steps to actually understand transformers
cneuralnetwork · x · 2026-11-09
@cneuralnetwork shares a hands-on learning path for understanding transformers without heavy compute: implement scaled dot-product attention, visualize a causal attention mask, build a tiny tokenizer, inspect attention weights, implement a transformer block, and generate text with a pretrained GPT-2. A practical exercise list for anyone wanting to learn LLM internals by building rather than renting GPUs.
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