#prompt-optimization

Learning, Fast and Slow: What arXiv 2605.12484 Proposes for LLMs That Adapt Continually

Fast-Slow Training splits LLM updates into prompt fast weights and parametric slow weights, cutting KL drift by 70% and lifting sample efficiency by 3×, keeping plasticity.