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已经非常接近真实值了，如果继续微调，就可以无限接近真实值，虽然一般无法求得最优解，但现实中只是误差可以接受就可以了。通过现有的数据或资料，称为样本，通过尝试求解参数（局部最优解）的过程，就是机器学习的核心内容。误差值是用来控制每次调整参数的幅度。

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仅 32B 参数 的 Echo-N1，在多轮情感陪伴任务中 胜率（Success Rate）达到 46.7% 。作为对比，拥有千亿参数量的商业模型 Doubao 1.5 Character，胜率仅为 13.3%。