SuperCompress: Cut LLM Costs by 65% Without Losing Answers

SuperCompress is a groundbreaking solution designed to drastically reduce the computational costs associated with large language models (LLMs) by eliminating unnecessary tokens during inference, achieving a 65% reduction. This innovation not only trims costs but also significantly lessens environmental impact, saving 100 billion tokens, 24,000 GPU hours, and 1,526 tons of CO₂ daily. By addressing the often-overlooked issue of resource-intensive padding and irrelevant context, SuperCompress offers a sustainable and efficient path forward for AI development.