Post‑training tricks cut LLM cost without losing ability

Recent work demonstrates that post-training tricks can significantly cut LLM cost and memory footprint without losing ability. These include aligning synthetic data with a student's style and utilizing key-value (KV) cache optimizations, achieving substantial savings without typical performance drops.