Firehose

Researchers have developed a way to control the effort mode of large language models (LLMs), allowing them to switch between low-effort, medium-effort, and high-effort reasoning modes. This is achieved through training using reinforcement learning with verifiable rewards (RLVR), which provides a reward signal for correct and incorrect responses. AI summary