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Last updated: April 1, 2026, 11:30 AM ET

Model Efficiency & Scaling

Research is exploring methods for achieving superior performance in smaller language models, demonstrating that iterative, focused training strategies can enable models 10,000× smaller than ChatGPT to outperform larger counterparts, challenging the conventional scaling laws in AI development.