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Summary
Flow matching is an intuitive generative modeling technique akin to diffusion models, focusing on simplifying complex processes. The video explains its core concepts, derivations, and practical implementation using PyTorch, emphasizing the importance of learning data distributions and generating new data points through linear interpolation and vector fields.