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</html><description>Description: The Neural Process is a generative model that combines neural networks with stochastic processes to learn distributions over functions. This approach allows machines not only to generate data but also to capture the inherent uncertainty within it. By integrating neural networks, which are computational structures inspired by the human brain, and stochastic processes, which [&hellip;]</description></oembed>
