Overview
A cutting-edge research project focused on developing conversational AI systems capable of addressing complex wireless technology issues. The project combines state-of-the-art language models with domain-specific knowledge in wireless communications.
Conference Presentation
Key Achievements
Published Research
Co-author of "Can we make FCC experts out of LLMs" accepted at HotMobile 2025 (ACM International Workshop on Mobile Computing Systems and Applications)
DOI: 10.1145/3708468.3711885Conference Speaker
Selected as the conference presenter to showcase our research findings at HotMobile 2025
LLM Pipeline Design
Designed and implemented an innovative LLM pipeline utilizing in-context learning and RAG for wireless technology problem-solving
Research Contributions
Conducted comprehensive research on state-of-the-art LLM techniques and their applications in wireless communications
Technologies Used
Research Impact
This project represents a significant step forward in applying AI to wireless communications, potentially revolutionizing how we approach wireless network troubleshooting and optimization. The research has implications for:
- Automated wireless network troubleshooting
- Expert knowledge democratization in wireless communications
- Integration of AI in network management systems