programming paradigm in which a numeric computer program can be differentiated throughout via automatic differentiation, allowing for machine learning based on gradient descent etc.
可微分编程是一种编程范型，在其中数值计算程序始终可通过自动微分来求导数。这允许了对程序中的参数的，通常通过梯度下降。可微分编程广泛用于各种领域，特别是科学计算和人工智能。
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Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).