Efficient generation of specialized large language models for network traffic analysis
US12432128B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 30, 2023 |
| Grant date | Sep 30, 2025 |
| Priority date | — |
| Expiry date | Jan 25, 2044 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/16
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Embodiments relate to generating specialized large language models by performing transfer learning on a base large language model. The base large language model is trained using network traffic capture files as training data to predict information in a network traffic capture file during inference. The base large language model is modified into specialized large language models for including in different applications for performing communication network analysis. In this way, the specialized large language models may be developed in an expedient and efficient manner by leveraging the training performed on the base large language model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.