Can Large Language Models facilitate network configuration? In our recently accepted CoNEXT 2024 paper, we investigate the opportunities and challenges in operating network systems using recent LLM models. We devise a benchmark for evaluating the capabilities of different LLM models on a variety of networking tasks and show different ways of integrating such models within … Continue reading “NetConfEval accepted at CoNEXT 2024”
Two exceptional students have been hired through a selective process within the SEMLA process: Laura Puccioni and Daniele Cipollone. Laura is working on understanding how to compress models for code generation while Daniele is focusing on detecting vulnerabilities using LLMs. We look forward to seeing the outcome of the two theses!
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!
