Existing approaches to understanding, developing and researching modern wireless communication technologies involves time-intensive and arduous process of sifting through numerous webpages and technical specification documents, gathering the required information and synthesizing it. This paper presents NextGen Communications Copilot, a conversational artificial intelligence tool for information synthesis of wireless communication specifications. The system builds on top of recent advancements in foundation models and consists of three key additional components: a domain-specific database, a context extractor, and a feedback mechanism. The system appends user queries with concise and query-dependent contextual information extracted from a database of wireless technical specifications and incorporates tools for expert feedback and data contributions. On evaluation using a benchmark dataset of queries and reference responses created by subject matter experts, the system demonstrated more relevant and accurate answers with an average BLEU score and BERTScore F1-measure of 0.37 and 0.79 respectively compared to the corresponding values of 0.07 and 0.59 achieved by state-of-the-art tools like ChatGPT.

翻译：现有理解、开发和研究现代无线通信技术的方法涉及耗时且繁琐的过程，包括浏览大量网页和技术规范文档、收集所需信息并进行综合。本文提出了NextGen Communications Copilot——一种用于无线通信规范信息综合的对话式人工智能工具。该系统基于基础模型的最新进展构建，包含三个关键附加组件：领域专用数据库、上下文提取器和反馈机制。该系统在用户查询中附加以简洁且与查询相关的上下文信息，这些信息来自无线技术规范数据库，并集成了专家反馈和数据贡献工具。在使用由领域专家创建的基准查询和参考响应数据集进行评估时，该系统提供的回答更相关、更准确，平均BLEU得分为0.37，BERTScore F1测度为0.79，而ChatGPT等最先进工具对应的值分别为0.07和0.59。