Visual-language systems

Adaptive reasoning reduces token usage up to 90% with minimal accuracy loss

Adaptive reasoning formats enable AI models to dynamically decide necessary reasoning steps, slashing token usage by up to 90% with minimal accuracy loss. This method replaces monolithic computation chains with lightweight, dynamically chosen alternatives, overcoming the cost inefficiencies of parallel reasoning.