Physicists Solve LLM Bloat With Magnetism Maths
Multiverse Computing has published a new approach to pruning large language models, framing transformer block removal as an Ising optimization problem. By treating neural network layers like interacting magnetic spins, researchers claim they can strip out redundant architecture with mathematical rigour rather than just guessing which layers to drop.
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