Welcome to the Hugging Face page of the Huawei NETOP (NETwork OPtimization) team! Our team is dedicated to leveraging cutting-edge Machine Learning (ML) and Artificial Intelligence (AI) technologies to tackle complex challenges in large-scale mobile network optimization.
Our team is a bridge between innovative AI technologies and practical applications in the telecom sector. We aim to drive advancements in network efficiency, scalability, and intelligent automation through the seamless integration of human expertise and AI.
This repository hosts valuable resources for the telecom and AI communities. Among them are TeleQnA, a comprehensive dataset designed to evaluate the telecom-specific knowledge of Large Language Models (LLMs), and the embedding database of Telco-RAG, a Retrieval-Augmented Generation (RAG) system tailored to enhance LLM understanding and application of 3GPP standards.
Find additonal resources in our Github.