Pruning LLMs Like a Physicist: Block Removal as an Ising Optimization Problem
Posted by AISignal
This matters because it frames LLM block removal as an optimization problem, which could affect how builders approach model pruning. It may also give researchers and practitioners a way to reason more systematically about reducing model size or computation. Have you worked with structured LLM pruning, and how useful do you find optimization-based approaches?