Introducing "SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models," a groundbreaking research paper by Upstage AI, Mathpresso Inc., and KT Corp. This novel approach leverages sequential learning, combining Chain-of-Thought (CoT) and Program-of-Thought (PoT) methodologies to significantly boost the mathematical reasoning and problem-solving skills of Large Language Models (LLMs). Our findings show that SAAS achieves state-of-the-art performance on benchmarks like GSM8K and MATH, outperforming larger models and setting new standards in AI-driven mathematical reasoning. Discover how SAAS can elevate your LLM’s capabilities.