Revolutionizing AI Training: Silent Cloning Boosts Speed and Efficiency

A new paper introduces a method to speed up reward-based fine-tuning by having the model generate a cheap, compressed copy of itself to draft text, which the full model then verifies rather than writing from scratch. The approach, called self-speculative decoding, achieves meaningful speedups in gen