Leveraging Open Source Large Language Models to generate datasets from existing field-specific texts
Network engineers are essential to the management of computer systems, as they configure services and devices on the network to guarantee effective data routing and improve computer networks which make easier to perform everyday tasks like sending and receiving emails as well as more sophisticated ones like cloud computing and online gaming. In addition, modern networks have to serve a rising number of IoT devices without compromising performance and handle more sophisticated cybersecurity threats. Network engineers must always be learning and adapting to new protocols and technologies if they are to successfully tackle these difficulties. Moreover, the introduction of Large Language Models (LLMs) that are available as open-source software has revolutionized technical innovation by enabling the automation of network setups and augmenting the capabilities of network administration. These developments represent an important step forward in the field of network engineering, with the goal of maximizing efficiency and guaranteeing strong network security and functioning.
Authors
- Costin Bădică (ORCID: https://orcid.org/0000-0001-8480-9867)
- Florin Pop (ORCID: https://orcid.org/0000-0002-4566-1545)
- Claudiu Trăistaru
- Daniel Ciochiu
- Mircea Bădoi
- Gabriel-Cătălin Nedianu
Institutions
- Academia Oamenilor de Știință din România (RO)
- University of Craiova (RO)
Publication Details
- Published
- 2024-09-04
- DOI
- https://doi.org/10.1109/inista62901.2024.10683817
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00