1 article on test-time compute.
Inference-time scaling lets you tune the latency-quality tradeoff at runtime rather than at training time. Here is a practical framework for deciding when to use Best-of-N sampling, beam search, iterative refinement, or one-shot generation — with real examples from clinical AI.
