AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper proposes AtomFlow, a holistic acceleration for a representative GNN-based MD model on the Fugaku supercomputer, and redesigns the inference workflow with a framework-free implementation to avoid the overhead of the PyTorch framework on Fugaku.
Reinforcement learning for coding agents increasingly relies on long-running agent harnesses to manage tool integration, repository contexts, and execution feedback. However, the native execution environments of these harnesses are inherently misaligned with policy-gradient training: environmental crashes and reward ha...
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