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Harnessing Reinforcement Learning for Synthetic Data Generation
This chapter explores how reinforcement learning can tackle data bottlenecks in AI by generating synthetic data through self-play and simulations. It emphasizes the importance of diverse data and fairness in model training as the field advances.