AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Training long-horizon language model agents requires assigning credit to intermediate decisions from sparse terminal feedback. Within a finite group of sibling rollouts, useful action comparisons depend on their context, evidence for both alternatives, and how that evidence enters learning. We propose Matched-Context G...
This work introduces PluginRSI, which represents a harness as a composition of atomized plugins and organizes harness evolution around these plugins, and shows that accumulating reusable mechanisms provides an effective basis for continued harness improvement.
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