Researchers Accelerate RL Training With TLT System

Researchers at MIT and collaborators have developed 'Taming the Long Tail' (TLT), a system that uses idle compute to train an adaptive drafter model on the fly to speed reinforcement learning for large language models. Evaluations show TLT preserves accuracy while accelerating end-to-end training by 70–110% through adaptive speculative decoding and an optimized rollout engine, reducing energy and financial costs and producing a lightweight deployable draft model.