LLM Attention via Persistent State Machines and INT4 In-Memory Cells

A new technical approach applies persistent state machines to emulate LLM attention using INT4 in-memory cells. This design could cut computational and energy costs for large language models. It highlights a novel path toward more efficient AI inference hardware.

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