AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work reconstructs how the hydrotope formula was originally discovered through human--agent collaboration and analyzes 18 single-prompt rediscovery runs under no hint and two forms of human guidance: a false hint representing an incorrect prior and a true hint representing domain-informed insight.
GWAgent, a large language model (LLM)-based workflow that constructs interpretable analytic surrogates directly from simulation data, shows that validation-constrained agentic workflows can produce accurate, fast, and interpretable surrogates for scientific simulations and inference.
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