Modern networks are growing increasingly complex, and managing them effectively requires sophisticated policy configurations that can adapt in real-time. Languages that enable direct programmability of network data planes, like P4, offer unprecedented control over packet processing, but come at a steep learning cost. This raises a crucial question: can we automate the generation of these complex network policies while ensuring they're correct, efficient, and adaptable? NetPrompt is a novel framework that harnesses the power of Large Language Models (LLMs) to automatically generate and optimize P4 scripts for Software-Defined Networks (SDN). Read more to learn how the research team implement NetPrompt …