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Belief Propagation: An Alternative to Backpropagation
Read Full Article: Belief Propagation: An Alternative to Backpropagation
Belief Propagation is presented as an intriguing alternative to backpropagation for training reasoning models, particularly in the context of solving Sudoku puzzles. This approach, highlighted in the paper 'Sinkhorn Solves Sudoku', is based on Optimal Transport theory, offering a method akin to performing a softmax operation without relying on derivatives. This method provides a fresh perspective on model training, potentially enhancing the efficiency and effectiveness of reasoning models. Understanding alternative training methods like Belief Propagation could lead to advancements in machine learning applications.
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