Paper page - Large Language Models over Networks: Collaborative Intelligence under Resource Constraints
… View arXiv page View PDF Add to collection Community 🌐 What's this about Cloud APIs alone can't serve every LLM workload. …
… View arXiv page View PDF Add to collection Community 🌐 What's this about Cloud APIs alone can't serve every LLM workload. …
… View arXiv page View PDF Add to collection Community Demystify how neural network learn group composition from a representation-theoretical perspective. …
… View arXiv page View PDF Project page GitHub 8 Add to collection Community Hi everyone, I’m one of the authors. …
… View arXiv page View PDF GitHub 0 Add to collection Community Training and scaling Large Language Models demand enormous computational resources, motivating both efficient sub-quadratic architectures and principled hyperparameter tuning methods. …
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… View arXiv page View PDF GitHub 1 Add to collection Community We empirically investigate whether image-classifier decision regions appear simply connected at finite resolution. …
… View arXiv page View PDF GitHub 4 Add to collection Community BrainSurgery is a tool for reliably inspecting and modifying large neural network checkpoints without fragile one-off scripts. …
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… View arXiv page View PDF GitHub 1 Add to collection Community Published in IEEE Access, Vol. …
… View arXiv page View PDF Add to collection Community A unification of decision trees and diffusion models: in suitable limits, trees correspond to diffusion processes with a shared objective, Global Trajectory Score Matching GTSM . …