AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Logit PSV is suggested, a simple, training-free alternative to full-weight perturbation ensembles across language and vision, where logit PSV substantially improves performance under domain shift, including on Earth observation, while full-weight perturbations provide little additional benefit.
Distilling pretrained foundation models into an autoencoder bottleneck improves latent diffusability, enabling diffusion models to converge faster and reach higher sample quality. Standard distillation aligns the latent at each position to a co-located teacher feature, tying the latent layout to the teacher's. We show...
The first multiplayer world model for highly dynamic environments governed by complex physical interactions is introduced, and how behavior changes with model and data scale is characterized, including the capabilities that emerge and the failure modes that persist.
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