Reason on the Fly: How RL Boosts LLM Reasoning On the Spot
Published:
In our last post, we warmed up with why reinforcement learning (RL) is a powerful paradigm for building smarter AI reasoners. Today, we zoom in on an exciting approach: using RL at inference time to improve large language model (LLM) reasoning on the spot. In particular, we explore ways to inject real-time reasoning into static LLMs. Let’s break down how RL can transform a frozen LLM into a more dynamic, reasoned thinker at runtime.
