Running Simulated Data
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Google researchers introduce Simula — a reasoning-first framework for synthetic data generation that controls quality, diversity, and complexity as independent axes, without relying on seed data, manual prompts, or evolutionary algorithms.Key results:— Full Simula system (global + local diversification + critiquing) is the dominant strategy across all tested datasets and data sizes— High Complexity data yielded a 10% accuracy gain over Low Complexity at 64K data items on GSM8k— Real-world datase
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