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Conventional training for coding models like Composer relies on simulated coding scenarios designed to mirror real-world challenges. This approach has yielded strong results. Coding is particularly well-suited for reinforcement learning because, unlike fields such as robotics, it allows for highly accurate environmental simulations.
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“如果你将这些数据输入并用于训练人工智能系统，将存在非常重大的隐私担忧。对于帕兰提尔如何处理这些数据，应有严格的保密要求。”
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