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LLM Inference Pipeline: Tokens, Attention, and KV Cache

You do not pick a model and a GPU and call it done. You pick a file encoding, and a kernel path.
The GPU follows those. Start with the loop. Text becomes tokens.
Tokens move through a Transformer.
Attention decides which earlier tokens matter.
The runtime keeps a KV cache so

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