AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work fine-tune a language model crowd agent so that the simulated population matches the observed destination composition, the fraction of the departing crowd heading to each point of interest.
This work establishes LLMs as high-fidelity behavior models for context-dependent tourist prediction, providing groundwork for counterfactual analysis of mobility interventions, and validates this approach using 566 trajectories from Wakayama Castle Park, Japan.
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