Unveiling Bayesian Flow Networks: A New Frontier in Generative Modeling

Generative Modeling falls under unsupervised machine learning, where the model learns to discover the patterns in input data. Using this knowledge, the model can generate new data on its own, which is relatable to the original training dataset. There have been numerous advancements in the field of generative AI and the networks used, namely autoregressive […]

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