Google study shows Gemini AI agents improve accuracy with checklist use
Google research shows Gemini AI agents that log claims and confidence before feedback cut false reversals of correct patches from 12.2% to 0.02%.
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In Nanbeige4.3, we take a foundational step toward pushing the boundaries of lightweight agents. Our strategy centers on building a high-capacity teacher agent first, which will subsequently anchor the distillation of advanced agentic capabilities into smaller models.