Exciting developments in small language models reveal a significant leap in math reasoning capabilities, achieving up to 90% accuracy on benchmarks. The innovative R Star Math approach combines multiple models with Monte Carlo search techniques, showcasing how even smaller models can compete with larger counterparts. This evolution in AI math proficiency raises intriguing questions about the future of LLMs and their potential applications.
