# Adaptive Reasoning

Thinkless is a large language model trained via reinforcement learning, capable of adaptively selecting short or long-chain reasoning modes, significantly reducing inference computational costs.

The Thinkless framework is a learnable framework that enables large models to adaptively choose between short reasoning or long-chain reasoning based on task complexity and their own capabilities.