While chess is a particularly potent example of a large language model losing to a much smaller specialized system, it’s far from unique. In a 2025 position paper, NVIDIA researchers argued that small models4 (which it defines as models under 10 billion parameters) are the future of agentic AI and that they “provide significant benefits in cost-efficiency, adaptability, and deployment flexibility.”
