Author
We presented results from the SEMLA project both in a presentation and as part of a panel discussion within the 5G Italy event in Rome (https://www.5gitaly.eu/). Many interesting discussions and follow-ups!
Author
We presented parts of the current results from the SEMLA project both in a presentation and as part of a panel discussion within the Global Connect event in Paris. Many interesting discussions and follow-ups!
Author
We published our preliminary work at the core of SEMLA on arXIV.
Abstract. This paper explores opportunities to utilize Large Language Models (LLMs) to make network configuration human-friendly, simplifying the configuration of network devices and minimizing errors. We examine the effectiveness of these models in translating high-level policies and requirements (i.e., specified in natural language) into low-level network APIs, which requires understanding the hardware and protocols. More specifically, we propose NETBUDDY for generating network configurations from scratch and modifying them at runtime. NETBUDDY splits the generation of network configurations into fine-grained steps and relies on self-healing code-generation approaches to better take advantage of the full potential of LLMs. We first thoroughly examine the challenges of using these models to produce a fully functional & correct configuration, and then evaluate the feasibility of realizing NETBUDDY by building a proof-of-concept solution using GPT-4 to translate a set of high-level requirements into P4 and BGP configurations and run them using the Kathará network emulator.
https://arxiv.org/pdf/2309.06342.pdf
Author
We are excited to announce that SEMLA has been granted funding from Vinnova to streamline software development via AI/ML advancements in natural language processing and code generation.
