TeleOracle: Fine-Tuned Retrieval-Augmented Generation with Long-Context Support for Network
The telecommunications industry's rapid evolution demands intelligent systems capable of
managing complex networks and adapting to emerging technologies. While large language …
managing complex networks and adapting to emerging technologies. While large language …
Towards Wireless-Native Big AI Model: Insights into Its Ambitions, Peculiarities and Methodologies
Researches on leveraging big artificial intelligence model (BAIM) technology to drive the
intelligent evolution of wireless networks are emerging. However, since the breakthrough in …
intelligent evolution of wireless networks are emerging. However, since the breakthrough in …
First Token Probability Guided RAG for Telecom Question Answering
Large Language Models (LLMs) have garnered significant attention for their impressive
general-purpose capabilities. For applications requiring intricate domain knowledge …
general-purpose capabilities. For applications requiring intricate domain knowledge …
NetOrchLLM: Mastering Wireless Network Orchestration with Large Language Models
The transition to 6G networks promises unprecedented advancements in wireless
communication, with increased data rates, ultra-low latency, and enhanced capacity …
communication, with increased data rates, ultra-low latency, and enhanced capacity …
Telco-DPR: A Hybrid Dataset for Evaluating Retrieval Models of 3GPP Technical Specifications
This paper proposes a Question-Answering (QA) system for the telecom domain using 3rd
Generation Partnership Project (3GPP) technical documents. Alongside, a hybrid dataset …
Generation Partnership Project (3GPP) technical documents. Alongside, a hybrid dataset …