AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, standard benchmarks for machine translation are approaching saturation. Further, automatic translation metrics are unreliable, opaque, and vulne...
A research agenda for empirically studying which texts and behaviors are accessible from short plausible prompts under a fixed LM interface is defined, and soft prompting complexity for approximate outputs is extended to soft prompting complexity for approximate outputs.
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