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Extending measure dynamics beyond generative modeling
Transport-based generative models, such as score-based diffusion and flow-matching, are a leading paradigm for learning complex data distributions. Much of the recent frontier involves extending these models beyond standard generation. In the first part of…
Microsoft Research Blog
PlugMem: Transforming raw agent interactions into reusable knowledge
It seems counterintuitive: giving AI agents more memory can make them less effective. As interaction logs accumulate, they grow large, fill with irrelevant content, and become increasingly difficult to use. More memory means that agents must…