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DPO simplifies the fine-tuning of large language models while achieving competitive performance, but training instability poses a challenge that needs addressing.
Autoregressive models outperform latent-variable and adversarial approaches in generating coherent Bach-style music, revealing critical insights into the strengths and weaknesses of different generative techniques.