Stop parsing SLM free text: constrain the output space instead
Series opener on narrow-automation optimization for small language models. The core move: constrain the output space rather than let the model spew free text that you regex-scan, since each generated token costs a sequential forward pass and loose output handling turns directly into error rates. Benchmarks use Qwen2.5-0.5B on an M2 MacBook Air.